The present disclosure provides a sample handling arrangement (100, 100′, 100″) for transferring one or more patient samples or portions thereof from at least one sample tube (20) to at least one reaction vessel (22) within an automated analyzer (50, 50′). The sample handling arrangement (100, 100′, 100″) includes a sample presentation unit (102) associated with the automated analyzer (50) and configured to receive a plurality of racks (26) into the automated analyzer (50). Each of the plurality of racks (26) is configured to receive and hold the at least one sample tube (20). The sample handling arrangement (100, 100′, 100″) further includes a linear slide (114) configured to be selectively mounted to a mount of the automated analyzer (50) at a first position (P1) and a second position (P2) different from the first position (P2). The sample handling arrangement (100, 100′, 100″) further includes a pipetting module (112) configured to travel along the linear slide (114) and transfer the one or more patient samples or portions thereof to the at least one reaction vessel (22) within the automated analyzer (50, 50′).
G01N 35/02 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor using a plurality of sample containers moved by a conveyor system past one or more treatment or analysis stations
G01N 35/10 - Devices for transferring samples to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
2.
INFECTION DETECTION AND DIFFERENTIATION SYSTEMS AND METHODS
Embodiments may include an automated method for evaluating an infection status associated with a blood sample obtained from an individual. Methods may include determining, using a first module, a white blood cell concentration associated with the blood sample. In addition, methods may include determining, using a second module, a monocyte volume measure associated with the blood sample. Methods may include evaluating, using a data processing module, the infection status associated with the blood sample. The data processing module may include a processor and a computer readable medium. The computer readable medium may be programmed with a computer application. This computer application, when executed by the processor, may cause the processor to calculate a parameter using a function comprising the white blood cell concentration and the monocyte volume measure. The computer application may also cause the processor to evaluate the infection status associated with the blood sample based on the parameter.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
3.
METHOD AND INSTRUMENT FOR DRAWING A VOLUME OF A BIOLOGICAL SAMPLE FOR TESTING
A method is provided. The method comprises: accessing test order data, wherein the test order data comprise information specifying a set of clinical tests to be carried out on a biological sample, wherein the set of clinical tests comprises at least a clinical test and the biological sample is contained in a sample container; obtaining test volume data by using the test order data, wherein the test volume data comprise information specifying a test volume; and instructing a pipetting device of a laboratory instrument to draw a drawing volume of the biological sample from the sample container, the drawing volume being based on the test volume data; wherein the test volume is the volume of the biological sample needed to carry out: the clinical test, and one or more supplementary tests associated with the clinical test, whenever one or more test volume conditions associated with the clinical test are met, wherein the one or more test volume conditions comprise a condition that one or more rules require that the one or more supplementary tests shall be carried out whenever one or more supplementary test conditions on the clinical test are met.
G01N 35/10 - Devices for transferring samples to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
A61B 10/00 - Instruments for taking body samples for diagnostic purposesOther methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determinationThroat striking implements
4.
NOVEL FLUORESCENT DYES AND POLYMERS FROM DIHYDROPHENANTHRENE DERIVATIVES
The present disclosure provides novel dihydrophenanthrene (DHP)-cyanine and DHP-squaraine fluorescent compounds and water-soluble polymers thereof. The DHP-cyanine and DHP-squaraine fluorescent compounds and polymers can be excited using UV, violet, blue, yellow, green, red, or NIR wavelengths. The fluorescent dyes may be conjugated to antibodies for detection of target analytes in biological samples and are suitable for use in flow cytometry analyses.
G01N 33/58 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving labelled substances
C09B 23/10 - Methine or polymethine dyes, e.g. cyanine dyes characterised by the methine chain containing an even number of CH groups
C09B 62/36 - Reactive dyes, i.e. dyes which form covalent bonds with the substrates or which polymerise with themselves with the reactive group directly attached to a heterocyclic ring to some other heterocyclic ring
A tray for use in a sample preparation instrument is described. The tray includes a body configured to mount on a platform in the sample preparation instrument. The tray includes a plurality of wells formed on the body. Each well of the plurality of wells configured to hold a tube containing a dry reagent. Each well of the plurality of wells includes a depth that covers a bottom portion of the tube. An anti-rotation mechanism prevents rotation of the tube inside the well when the tray rotates about an axis of rotation. A raised border obscures a middle portion of the tube from a rear perspective as the tray rotates about the axis of rotation.
Methods and systems for detecting and reporting subpopulations of neutrophils may involve using a nonce parameter to elucidate one or more other cell population parameters. Methods and systems for detecting and reporting subpopulations of neutrophils may involve structuring reports to elucidate one or more cell population parameters, particularly, but not exclusively, where the report of a cell population parameter might otherwise be ambiguous or a higher than usual likelihood of confusion.
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
Variations in the quality of images captured by a biological analysis system may be addressed using a method which determines a field of observation that can be used for filtering data for generating results. Such a method may include obtaining a plurality of images of particles from a field of view, analyzing the plurality of images, determining a focal parameter associated with the images, and utilizing the focal parameter to determine the field of observation. In such a case, the field of view may represent a first imaging area of a flowcell, and the field of observation may represent a second, smaller, imaging area of the flowcell.
Staining functionality of a blood analysis instrament may be assessed using control particles which are stained using the instrument's staining functionality. This may be done using a method which comprises providing a control sample comprising control particles, applying a staining process to result in a stained control sample, capturing images of control samples from the stained control sample, and assessing a staining function using the captured images.
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
A blood analysis instrument may be assessed using a combination of images of control particles of a control samples and stained blood particles of a blood sample (e.g., a patient sample). This may be done using a method which comprises receiving images of control particles of a control sample and assessing a first performance characteristic of the blood analysis instrument based on the images of control particles. Such a method may also comprise receiving images of stained blood particles of a blood sample and assessing a second performance characteristic of the blood analysis instrument based on the images of the stained blood particles.
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
Staining functionality of a blood analysis instrument may be assessed using control particles which are stained using the instrument's staining functionality. This may be done using a method which comprises providing a control sample comprising control particles, applying a staining process to result in a stained control sample, capturing images of control samples from the stained control sample, and assessing a staining function using the captured images.
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
Sizes of particles depicted in images captured of a blood sample by a blood analysis instrument may be calculated by processing those images. For example, a method for calculating a size of a particle in a blood sample imaged by a blood analysis instrument may include receiving an image depicting the particle in the blood sample, and identifying a boundary for the particle depicted in the image. A major and a minor axis may then be defined based on the boundary, and the size of the particle may be determined based on the major and minor axes.
G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
A biological analyzer's ability to report mean corpuscular volume (MCV) values may be tested using a method which includes providing a control sample, capturing measurements of particles, and reporting a set of MCV values based on the measurements. In support of such a method a sample may be provided which comprises different subsets of control particles which each have their own corresponding size range. These size ranges may be set so that no more than one of the subsets would be occluded by red blood cells (RBCs) that may also be present in the control sample, so that measurements of the remaining subsets may be used in determining the MCV value(s) to be reported.
G01N 15/12 - Investigating individual particles by measuring electrical or magnetic effects by observing changes in resistance or impedance across apertures when traversed by individual particles, e.g. by using the Coulter principle
13.
METHOD FOR DETERMINING A SAMPLE QUALITY OF A BIOLOGICAL SAMPLE INSIDE A CONTAINER
The disclosure relates to a method (100) for determining a sample quality of a biological sample (2) inside an uncapped container (1), the method (100) comprising: - determining, by a data processing system (11), at least one sample color of the biological sample (2) based on a color image (9) showing at least part of a surface (6) of the biological sample (2) from a top view perspective on the container (1); and - determining, by the data processing system (11), the sample quality of the biological sample (2) based on a comparison of the determined at least one sample color with at least one reference color.
G01N 21/25 - ColourSpectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
G01N 33/49 - Physical analysis of biological material of liquid biological material blood
G01N 21/31 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
14.
DETECTION OF BACTEREMIA USING HEMATOLOGY PARAMETERS
Hematological parameters, such as monocyte distribution width (MOW) and neutrophil to lymphocyte ratio (NLR) may be used for bacteremia screening. Such screening may be performed using a transducer module which comprises an interrogation zone, an illumination source configured to illuminate the blood sample in the interrogation zone, and at least one light sensor configured to detect illumination from cells from a blood sample in the interrogation zone. With such a transducer module, a screening method may be performed which comprises presenting the blood sample to the transducer module, delivering a hydrodynamically focused stream of the blood sample to the interrogation zone of the transducer module, determining one or more white blood cell population parameters for the blood sample based on measurements from the transducer module, and screening the blood sample for bacteremia using a data processing module.
G01N 15/00 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
G01N 15/12 - Investigating individual particles by measuring electrical or magnetic effects by observing changes in resistance or impedance across apertures when traversed by individual particles, e.g. by using the Coulter principle
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
A device for visualizing flow cytometry data is disclosed. The device acquires the flow cytometry data. The device receives a gating that defines at least a first population and a second population in the flow cytometry7 data. The first and second populations each include a plurality of events associated with interrogations of particles by a flow cytometer. The device displays a plot that includes a waveform for each event of the plurality of events in the first population.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
A biological particle counting system can include: an impedance particle counter comprising at least one sample aperture; a pump configured to pull particles through the at least one sample aperture of the impedance particle counter for counting, the pump producing a vacuum pressure; and a stepper motor configured to adjust a speed of the pump to substantially maintain the vacuum pressure.
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
G01N 15/12 - Investigating individual particles by measuring electrical or magnetic effects by observing changes in resistance or impedance across apertures when traversed by individual particles, e.g. by using the Coulter principle
A method of affecting heat generation in a centrifuge is described. The method includes determining a tangential velocity of a rotor within the centrifuge based on a rotational speed of the rotor. The method further includes projecting a working fluid inside the centrifuge at the tangential velocity of the rotor.
B04B 1/20 - Centrifuges with rotary bowls provided with solid jackets for separating predominantly liquid mixtures with or without solid particles discharging solid particles from the bowl by a conveying screw coaxial with the bowl axis and rotating relatively to the bowl
One embodiment of the invention is directed to a sample processing system for analyzing a biological sample from a patient. The sample processing system comprises: a plurality of analyzers comprising at least one mass spectrometer, wherein each analyzer in the plurality of analyzers is configured to acquire at least one measurement value corresponding to at least one characteristic of the biological sample; at least one data storage component which stores (i) a list of parameters for the plurality of analyzers, and (ii) at least two condition sets, which contain data associated with completing one or more test orders. The condition sets contain data which differ by at least one variable; and a control system operatively coupled to the plurality of analyzers, and the at least one data storage component. The control system is configured to (i) determine which condition set of the at least two condition sets to use based on the determined condition set, (ii) determine which analyzer or analyzers of the plurality of analyzers to use to process each test order based on the determined condition set and one or more parameters from the list of parameters, and (iii) cause the determined analyzer or analyzers to acquire one or more measurement values for the biological sample.
The presently described and claimed technology relates to high-throughput automated methods for the investigation of ApoE isoforms the subsequent prediction of a likelihood of developing a neurodegenerative disease.
The presently described and claimed technology relates to high-throughput automated methods for the investigation of ApoE isoforms the subsequent prediction of a likelihood of developing a neurodegenerative disease.
A computer-implemented method of determining, for a subject, a risk of having an occult sepsis is described. The method comprises obtaining at least one sepsis score indicative of a risk of the subject developing a sepsis event; confirming that the obtained at least one sepsis score meets at least one threshold value for the at least one sepsis score; and analysing a set of subject data indicative of a health state of the subject with respect to one or more occult sepsis criteria indicative of a risk of the subject having an occult sepsis.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
23.
INTEGRATION AND VALIDATION OF WORKFLOWS FOR FLOW CYTOMETRY
A system for integrating flow cytometry workflows. The system builds a worklist by adding task groups for single or multiple tube panels for analyzing one or more samples. The system instructs instruments to perform tasks in the task groups added to the worklist. The system exchanges data between the instruments. The data exchanged between the instruments being related to performance of the tasks in the task groups. The worklist can include a first task group for instrument quality control, a second task group for assay quality control, and a third task group for compensation and standardization verification.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
24.
CLINICAL ANALYZER AUTOMATED SYSTEM FAULT DIAGNOSTIC METHODS
A method for operating and diagnosing faults in a laboratory instrument comprising a plurality of subsystems may comprise performing an analytic sequence and a set of diagnostic steps. Such a method may be performed using a diagnostic reagent comprising paramagnetic particles and lacking an antibody component. Such a method may also include evaluating a set of the instrument's subsystems in the opposite of the order in which those subsystems are used during analysis.
The presently claimed and described technology provides an apparatus configured to adjustably position a focal location of a first instrument of a first body with respect to a target location of a second instrument of a second body. The apparatus further includes a third body, a first joint, and a second joint. The first joint is configured to adjustably linearly position the first body with respect to the third body along a first axis and thereby perform a first adjustment and is further configured to adjustably rotatably position the first body with respect to the third body about the first axis and thereby perform a second adjustment. The second joint is configured to adjustably linearly position the second body with respect to the third body along a second axis and thereby perform a third adjustment and further configured to adjustably rotatably position the second body with respect to the third body about the second axis and thereby perform a fourth adjustment. Each of the first, second, third, and/or fourth adjustments are performed independently of each other and may have zero backlash. Additional third axis linear and/or rotational adjustment mechanism(s) may be added. In certain embodiments, the first, second, and/or third axes intersect each other at a point.
A method for obtaining verification data, the method comprises receiving generated data from a data source; calculating a hash value for the generated data; transmitting the hash value to a verification service provider; receiving verification data from the verification service provider; and storing the generated data and the verification data
A fluid sample testing system uses an ion-selective electrode (ISE)-based flow cell, a bypass line, and a suction source configured to introduce the sample to the flow cell, measure the activity or concentration of certain ions, and remove the sample. The flow cell includes a reference electrode and a plurality of measuring electrodes. The reference electrode has an internal fluid that can affect the outputs of the measuring electrodes to an orderable degree, and the measuring electrodes are situated so that the measuring electrodes are positioned so their proximity to the reference electrode is greater when the effect on the measuring electrodes is lower.
G01N 27/27 - Association of two or more measuring systems or cells, each measuring a different parameter, where the measurement results may be either used independently, the systems or cells being physically associated, or combined to produce a value for a further parameter
05 - Pharmaceutical, veterinary and sanitary products
Goods & Services
(1) Reagents for medical purposes; Diagnostic reagents for medical use; Diagnostic kit comprised of reagents for medical use; Reagents for use in flow cytometry, for medical purposes; Reagents for preparing and enumerating white blood cells in leukocyte-reduced red blood cells and platelets, for medical purposes.
29.
SYSTEM AND METHOD FOR INSTRUMENT CALIBRATION AND OPTIMIZATION
Embodiments of the present disclosure disclosed include characterization systems, scatter dynamic range optimization methods, fluorescence dynamic range optimization methods, and kits for optimization methods to ensure consistent and reliable detection of nanoparticles like extracellular vesicles with a flow cytometry instrument. An embodiment of the present disclosure includes a system for characterization of a flow cytometer including a first standard particle reagent that may include a first particle mixture, and that may be substantially free of fluorescent dye. The system for characterization of a flow cytometer may further include a second standard particle reagent that may include a second particle mixture, and that may be substantially free of fluorescent dye.
A sample preparation instrument with an integrated device for estimating a concentration of white blood cells in a specimen is described. The sample preparation instrument receives a specimen for which a sample is to be prepared for analysis. The integrated device can implement an optical method, an electrical resistance method, or a flow cytometry method, for example, to estimate the white blood cell concentration in the specimen. For some types of analysis, a sample volume of the specimen is dependent on the white blood cell concentration. Therefore, the sample preparation instrument can automatically determine and adjust the sample volume of the specimen based on the estimated white blood cell concentration prior to adding additional reagents, such as labeling reagents and/or lytic reagents, to prepare the sample.
G01N 35/10 - Devices for transferring samples to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
G01N 15/06 - Investigating concentration of particle suspensions
G01N 15/075 - Investigating concentration of particle suspensions by optical means
G01N 33/569 - ImmunoassayBiospecific binding assayMaterials therefor for microorganisms, e.g. protozoa, bacteria, viruses
An information processing method and information processing device for a flow cytometer, and a flow cytometer are provided according to the present disclosure. The information processing method includes: acquiring a sample signal through a detection channel included in the flow cytometer in a case that a sample fluid flows through the flow cytometer; and determining the number of peaks of the sample signal to characterize sensitivity corresponding to the detection channel. The sample fluid includes multiple types of particles corresponding to different signal intensities, respectively, and the multiple types of particles include unstained particles.
Systems and methods for operating a sample processing instrument. The method includes processing one or more samples through a fluidics system of the sample processing instrument, cleaning the fluidics system, measuring an amount of particles at an interrogation point the fluidics system by selectively supplying a flow to the fluidics system from one of a sample tube source and a sample line source, measuring the amount of particles in the flow, comparing the amount of particles measured against a predetermined target value, and determining, using the comparing, whether a cleaning requirement is met.
The present disclosure provides a test method and a test device for a flow cytometer, and a flow cytometer. The flow cytometer includes a plurality of lasers arranged in a colinear manner and emitting light of different wavelengths. The test method for the flow cytometer includes performing a first group of tests. In the first group of tests, a first test reagent is used as a sample, and the plurality of lasers are turned on one by one in sequence and the remaining lasers are turned off, to test performance of a fluorescence channel of each of the plurality of lasers.
A method of characterizing biological nanoparticles by flow cytometry is provided. The method includes illuminating the nanoparticles with one or more excitation light beams as the nanoparticles individually pass through an interrogation zone. The method further includes collecting light in a plurality of channels from the nanoparticles passing through the interrogation zone. The method includes characterizing the nanoparticles based on the light collected in the plurality of channels.
A computer-implemented method for clinical decision support is described. The method comprises obtaining, at a computing device, subject data associated with a subject, the subject data comprising: at least one vital parameter determined for the subject, and at least one laboratory parameter determined for the subject; and computing, based on the obtained subject data, at least one first indicator indicative of the appropriateness for multiple overnight hospitalization of the subject.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A method of characterizing particles in flow cytometry includes determining a first pulse width value of a particle using a first technique. The method includes determining a second pulse width value of the particle using a second technique. The method further includes comparing the first and second pulse width values, and characterizing the particle as a concatenated particle when a difference between the first and second pulse width values exceeds a threshold.
Methods of tuning an illumination assembly of a flow cytometer are described. One method of tuning the illumination assembly of the flow cytometer includes receiving a first alignment error for a first laser diode of the illumination assembly, installing a tuning device in the flow cytometer, and adjusting a first switch associated with the first laser diode. Another method of tuning the illumination assembly of the flow cytometer includes inserting an oscillating wave signal into a drive circuit of the illumination assembly. The oscillating wave signal provides a frequency modulation of the drive circuit.
A gassing lid assembly enables gas-tight sealing of sample containers in general, also referred to as microplates in some embodiments, with simultaneous guided access for the pipetting unit of a dispensing/pipetting robot, also referred to as a pipettor. The component enables both gas-tight sealing and guided access for the pipetting robot. The gassing lid serves a number of purposes at the same time and provides the following advantages in a non-limiting fashion: a gas tight seal, robot integration without a gassing lid, robot integration with a gassing lid, a sealing mechanism, and anaerobic transport. Reducing the volume above reservoirs of a sample container (e.g., the volume above wells of a microplate) is advantageous in that it reduces the safety risk of high concentrations of gases such as oxygen.
A processing system for processing consumables, comprising: a container in which the consumables are arranged, the container comprising an RFID tag with at least one RFID tag storage section for storing consumables status information indicative of a filling-status of the consumables arranged in the container; an RFID reading unit configured to read information from the RFID tag; an RFID writing unit configured to write information on the RFID tag; and a removing unit configured to remove a part of the consumables from the container; wherein the processing system is configured to: read, by means of the RFID reading unit, the consumables status information from the at least one RFID tag storage section, remove, by means of the removing unit, a part of the consumables from the container, determine, based on the consumables status information read by the RFID reading unit, whether a predetermined prohibition condition is met after the removal of the part of the consumables from the container by the removing unit, and in case the prohibition condition is not met, update, by means of the RFID writing unit, the consumables status information on the RFID tag, and in case the prohibition condition is met, irreversibly modify the RFID tag such that the processing system is able to identify from the RFID tag that the prohibition condition is met.
B01L 3/00 - Containers or dishes for laboratory use, e.g. laboratory glasswareDroppers
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
40.
SAMPLE ANALYZING SYSTEM AND A COMPUTER IMPLEMENTED METHOD OF CAPPING SECONDARY TUBES SAMPLE ANALYZING SYSTEM AND A COMPUTER IMPLEMENTED METHOD OF CAPPING SECONDARY TUBES
A sample analyzing system (1) for analyzing a sample contained within a primary tube entering the sample analyzing system (1) comprises a plurality of stations (11, 12, 13, 14, 15) for analyzing samples and/or for storing samples and/or for transporting samples to an offline analyzer. An aliquoter station (3) is configured to, depending on which tests are scheduled for the sample within the primary tube, fill a share of the sample contained in the primary tube into at least one secondary tube, wherein the secondary tube is scheduled for being sent to at least one selected station (11, 12, 13, 14, 15) from the plurality of stations (11, 12, 13, 14, 15). A first cap station (4a) is configured to apply a cap of a first cap type to the secondary tube. A second cap station (4b) is configured to apply a cap of a second cap type to the secondary tube, wherein the second cap type differs from the first cap type. A cap selection module (6) is configured to select a capping selection for the secondary tube, wherein capping selections include one or more of an uncapped state, a first cap state, wherein the secondary tube is closed by a cap of the first cap type, and a second cap state, wherein the secondary tube is closed by a cap of the second cap type. Therein, the sample analyzing system (1) is further configured to, depending on the selected capping selection, provide the secondary tube with a cap of the first cap type at the first cap station if the first cap state is selected, or with a cap of the secondary cap type at the second cap station if the second cap state is selected, or leave the secondary tube uncapped if the uncapped state is selected, before the secondary tube is send to its at least one selected station (11, 12, 13, 14, 15).
Systems, devices, and method for asynchronous training for classification of cellular subsets for flow cytometry. A training file is identified for training a classifier. A gate associated with the training file is received for training the classifier and a model for training the classifier is received. The classifier training begins and, concurrent with training of the classifier; flow cytometry files are classified and an accuracy of the classifier is monitored. A determination is made whether the gate should be adjusted based on the accuracy and a determination is made whether training of the classifier is complete.
A system for preparing microbial cultures includes a microtiter plate assembly including a plurality of openings, and a plurality of plugs sized and configured to be received within the plurality of openings on the microtiter plate. Each plug of the plurality of plugs has a handling portion. The system includes a liquid handler including a gantry system including a plug-handling system configured to temporarily attach to respective handling portions of the plurality of plugs, and a pipetting system configured to dispense or aspirate liquids through the plurality of openings on the microtiter plate assembly without contacting the microtiter plate assembly.
A biological imaging analyzer is described comprises a staining module configured to stain cells of a biological sample so as to produce stained cells. The analyzer also comprises a lighting module configured to illuminate the stained cells, the lighting module comprising a plurality of pulsed lights. The analyzer further comprises an imaging module configured to capture images of the stained cells. A method of flow imaging a biological sample comprises flowing the biological sample including the stained cells through an image capture region of a flowcell. The method also comprises utilizing the lighting module to illuminate the stained cells at the image capture region with the plurality of pulsed lights. The method further comprises capturing images of the stained cells at the image capture region with the imaging module.
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
Systems and methods for fluorescence sensitivity monitoring in a flow cytometer include measuring fluorescence of a sheath fluid to determine a sheath noise and setting a threshold detection value using the sheath noise. Fluorescence of a plurality of samples having predetermined fluorescence intensities at different wavelengths is measured, using the threshold detection value. Each sample of the plurality of samples having predetermined fluorescence intensities at different wavelengths is gated and, using the gating, a mean fluorescence intensity (MFI) is identified for each sample of the plurality of samples having predetermined fluorescence intensities at different wavelengths. One or more fluorescence channels of the flow cytometer are calibrated by calculating, for each sample of the plurality of samples having predetermined fluorescence intensities at different wavelengths, molecules of equivalent soluble fluorochrome (MESF) using the MFI and the sheath noise.
The disclosure pertains to a computer-implemented method of managing a software update of at least one laboratory instrument by a computing device communicatively couplable to the laboratory instrument, the method comprising: providing, by a computing device, a pause command receivable the at least one laboratory instrument, wherein the pause command is configured to, when processed by the laboratory instrument, cause and/or instruct the laboratory instrument to at least temporarily prevent installation of the software update on the laboratory instrument; providing, by the computing device, a resolution command to the at least one laboratory instrument, wherein the resolution command is configured to, when processed by the laboratory instrument, cause and/or instruct the laboratory instrument to allow installation of the software update, to replace the software update by an updated version, or to permanently prevent installation of the software update on the laboratory instrument.
The presently claimed and described technology provides methods for chemiluminescence-based assays for detecting p24 antigen in a biological sample employing 1,2 dioxetane compounds.
A microscope imaging system includes an objective (18) configured to collect light from a biological sample (S) for forming a magnified image of the biological sample. The microscope imaging system also includes a camera (14) including an imaging sensor. The imaging sensor is configured to detect the magnified image of the biological sample. The microscope imaging system further includes a tube lens (16) positioned between the objective and the camera. The tube lens is configured to project the magnified image of the biological sample onto the imaging sensor of the camera. The tube lens is spaced apart from the imaging sensor of the camera by a distance (D2) less than a focal length of the tube lens.
The presently claimed and described technology provides methods for chemiluminescence-based assays employing 1,2 dioxetane compounds. In some instances, the analyte is cardiac troponin I (TNI), Thyroid-stimulating Hormone (TSH), or procalcitonin (PCT). Methods disclosed herein comprise: exposing a biological sample to a capture antibody configured to bind to at least one portion of an analyte disclosed herein generating a first reaction mixture; exposing the first reaction mixture to an enzyme-conjugated affinity molecule, forming a second reaction mixture; exposing the second reaction mixture to a substrate formulation comprising a 1,2 dioxetane compound disclosed herein; wherein the reaction between the enzyme-conjugated affinity molecule and the substrate formulation generates a chemiluminescent detection signal; recording the detection signal generated by the reaction; and comparing the recorded signal to a calibration curve to quantify the level of the analyte in the biological sample.
C12Q 1/42 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving hydrolase involving phosphatase
C07F 9/655 - Heterocyclic compounds, e.g. containing phosphorus as a ring hetero atom having oxygen atoms, with or without sulfur, selenium, or tellurium atoms, as the only ring hetero atoms
C09K 11/07 - Luminescent, e.g. electroluminescent, chemiluminescent, materials containing organic luminescent materials having chemically-interreactive components, e.g. reactive chemiluminescent compositions
G01N 33/543 - ImmunoassayBiospecific binding assayMaterials therefor with an insoluble carrier for immobilising immunochemicals
G01N 33/58 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving labelled substances
The presently claimed and described technology provides methods for chemiluminescence-based assays for detecting phosphorylated tau (p-tau)217 in a biological sample employing 1,2 dioxetane compounds.
The presently claimed and described technology provides methods for chemiluminescence-based assays for detecting interferon-gamma (IFN-γ) in a biological sample employing a dioxetane compound.
A method of performing an immunoassay with an automated clinical analyzer, includes, mixing an analyte from a patient sample with a first reagent having a plurality of particles configured to specifically bind to the analyte and a second reagent having an enzyme, incubating the assay mixture for a predetermined amount of time and then performing a wash cycle on the assay mixture in order to retain the plurality of particles while removing the remaining portion of the assay mixture not bound the plurality of particles, and selecting a first substrate material or a second substrate material, each housing with the automated clinical analyzer. The method further includes obtaining the selected substrate material and adding the selected substrate material with the plurality of particles remaining from the wash cycle to create a signal generating mixture, incubating the signal generating mixture, and analyzing the signal generating mixture with a luminometer.
A method of performing an immunoassay with an automated clinical analyzer, includes, mixing an analyte from a patient sample with a first reagent having a plurality of particles configured to specifically bind to the analyte and a second reagent having an enzyme. The method further includes incubating the assay mixture for a predetermined amount of time and then performing a wash cycle on the assay mixture in order to retain the plurality of particles while removing the remaining portion of the assay mixture not bound the plurality of particles. The method further includes selecting a first substrate material or a second substrate material, each housing with the automated clinical analyzer. The method further includes obtaining the selected substrate material and adding the selected substrate material with the plurality of particles remaining from the wash cycle to create a signal generating mixture. The method further includes incubating the signal generating mixture and analyzing the signal generating mixture with a luminometer.
Systems and method for titration analysis to indicate a protein concentration present in an experimental sample. The titration analysis system includes a titration analysis instrument with a light source, a thermally controlled sample receptacle, and a light detector configured to detect light from the light source after the light has passed through the thermally controlled sample receptacle. A non-transitory memory stores a reusable titration curve and a processing circuit is configured to receive a signal from the light detector, determine a fluorescence polarization value based on the signal, retrieve the reusable titration curve from the non-transitory memory as a reference curve, and fit the fluorescence polarization value to the reusable titration curve to indicate the protein concentration present in the experimental sample.
The present disclosure relates to diagnosing and locating fluid leakage within a pneumatic system (5) using a minimal amount of pressure sensors (55, 75, 89). In general, each branch (51, 71, 85) of a pneumatic system (5) includes an associated pressure sensor (55, 75, 89) and in accordance with how the pneumatic components (57, 59, 61, 77, 91, 93, 95) associated with the pneumatic branch (51, 71, 85) are toggled and monitored, leaks can be detected and located within the branch (51, 71, 85) using a minimal amount of pressure sensors (55, 75, 89). More specifically, pressure and pressure decay may be measured by the sensors (55, 75, 89) within a branch (51, 71, 85) while the pneumatic components (57, 59, 61, 77, 91, 93, 95) are in a particular configuration. The configuration is thereafter changed, and pressure and pressure decay are again measured by the sensors (55, 75, 89). The results of these two measurements may enable the pneumatic system (5) to derive the presence and location of a leak.
F15B 19/00 - Testing fluid-pressure actuator systems or apparatus, so far as not provided for elsewhere
G01M 3/28 - Investigating fluid tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables, or tubesInvestigating fluid tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipe joints or sealsInvestigating fluid tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for valves
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
55.
COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR PROCESSING AND/OR TESTING OF A BIOLOGICAL SAMPLE
An aspect of the present invention relates to a computer-implemented method, the method comprising at least the steps of: obtaining, by a first computing device, sample location data, the sample location data comprising information indicative of a sample location of a biological sample; obtaining, by the first computing device, test data, the test data comprising information indicative of one or more clinical tests to be performed on the biological sample; selecting by evaluating laboratory data, by the first computing device, a processing laboratory from a first plurality of laboratories, wherein the processing laboratory is located at a processing laboratory location and the processing laboratory comprises one or more laboratory instruments, the one or more laboratory instruments being configured to carry out the one or more clinical tests to be performed on the biological sample; and instructing, by the first computing device, an agent to initiate a transfer of the biological sample from the sample location to the processing laboratory location. Further aspects of the present invention relate to another computer-implemented method, a computer program product and a system.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G06Q 10/063 - Operations research, analysis or management
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Downloadable computer software for use in cell analysis in connection with apparatus and instruments used for cell analysis and automated hematology analyzers; Recorded computer software for use in cell analysis in connection with apparatus and instruments used for cell analysis and automated hematology analyzers; Downloadable computer software for use in cell analysis for medical, scientific, laboratory, and general research uses; Recorded computer software for use in cell analysis for medical, scientific, laboratory, and general research uses; Recorded computer software for use in cell analysis for analyzing hematologic biomarkers; Downloadable computer software for use in predicting risk of infection and sepsis; Recorded computer software for use in predicting risk of infection and sepsis; Downloadable computer software for use in cell analysis for analyzing hematologic biomarkers Scientific laboratory services; Laboratory testing of materials; Blood analysis for scientific research purposes; Chemical analysis; Chemical analysis services; Performance of chemical analyses; Laboratory research in the field of infection and sepsis; Research laboratory analysis services in the field of infection and sepsis; Laboratory research in the field of cell analysis and hematological biomarkers; Research laboratory analysis services in the field of cell analysis and hematological biomarkers; Biochemical research and analysis; Biological research and analysis; Chemical research and analysis; Providing medical and scientific research information; Providing scientific information in the field of infection and sepsis; Providing scientific information in the field of cell analysis and hematological biomarkers; Providing scientific information in the field of infection and sepsis risk Medical services; Providing medical information; Medical screening; Medical assistance; Medical testing services; Medical testing for diagnostic or treatment purposes; Medical diagnostic services; Medical diagnostic testing, monitoring and reporting services; Providing medical information in the field of infection and sepsis risk; Providing health information; Providing medical information to healthcare providers in the form of reports in the field of infection and sepsis risk; Providing medical information to healthcare providers in the form of reports in the field of cell analysis and hematological biomarkers; Providing medical information in the field of cell analysis and hematological biomarkers
This disclosure describes methods of and systems for screening for sepsis or septic shock in a patient and methods of ruling out sepsis or septic shock in a patient using white blood cell count (WBC), a monocyte cell population parameter, or neutrophil-to-lymphocyte ratio (NLR), or a combination thereof, in the blood sample from the patient.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G01N 27/02 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
58.
SYSTEMS AND METHODS OF PROCESSING SAMPLES COMPRISING IMMATURE GRANULOCYTES
Samples comprising immature granulocytes may be processed via a method which comprises obtaining a plurality of representations based on, for each of a plurality of cells, obtaining a representation of that cell. Such a method may also comprise, for each cell in a set of cells from the plurality of cells, determining an immature granulocyte subtype corresponding to that cell. In this case, for each cell from the set of cells, the immature granulocyte subtype determined as corresponding to that cell may be selected from a plurality of immature granulocyte subtypes. Such a method may also include calculating an immature granulocyte index. Such an index may be calculated based on, for each subtype from the plurality of immature granulocyte subtypes, a subtype factor based on a number of cells identified as corresponding to that immature granulocyte subtype, and a weight for that immature granulocyte subtype.
Chemiluminescent compositions and systems having at least one donor chemiluminescent molecule, at least one energy acceptor molecule, and at least one host molecule accommodating at least two guest molecules such as the donor chemiluminescent and energy acceptor molecules are described. The two guest molecules are structurally spaced for resonance energy transfer between the donor chemiluminescent molecule and the energy acceptor molecule when accommodated in the host molecule. Methods of using the described chemiluminescent compositions and systems are also provided.
G01N 33/542 - ImmunoassayBiospecific binding assayMaterials therefor with immune complex formed in liquid phase with steric inhibition or signal modification, e.g. fluorescent quenching
G01N 33/58 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving labelled substances
A patient sample may be processed via a method which comprises preparing first and second portions of the patient sample, capturing first and second pluralities of images, determining first and second counts of one or more types of particles, and generating an output corresponding to at least one of those types of particles based on the first and second counts for that type of particle.
The processing of a sample may be dynamically adjusted. This may be done via a method which comprises obtaining a first set of measurements from a first portion of a patient sample. Such a method may also include deriving blood cell data for at least one population of cells in the patient sample based on the first set of measurements. Additionally, such a method may include determining one or more sample optimization parameters for the patient sample based on the blood cell data for the at least one population of cells in the patient sample. Using those one or more sample optimization parameters determined for the patient sample, the method may then include processing a second portion of the patient sample. In such a case, processing the second portion of the patient sample may comprise obtaining a second set of measurements from the second portion of the patient sample. In such a method, at least one of obtaining the first set of measurements and obtaining the second set of measurements comprises imaging.
G01N 15/1031 - Investigating individual particles by measuring electrical or magnetic effects
G01N 15/12 - Investigating individual particles by measuring electrical or magnetic effects by observing changes in resistance or impedance across apertures when traversed by individual particles, e.g. by using the Coulter principle
G01N 15/1433 - Signal processing using image recognition
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
According to embodiment, a system for assessing a biological analyzer includes: a flowcell; a projection region; a media source configured to project media onto the projection region, wherein the media includes a representation of at least one particle within the flowcell; an imaging device aligned with the projection region, wherein the imaging device is configured to capture at least one image of the representation of the at least one particle; and a processor configured to process the at least one image of the representation of the at least one particle to assess a function of the biological analyzer.
An analyzer may have its operation validated using control samples which comprise synthetic particles. Such an analyzer be adapted to obtain a representation of a particle from a sample and obtain a classification of the particle which classifies the particle as a type specific to control samples. The analyzer may also be adapted to perform control specific processing on the sample, and to generate an analysis output for the sample based on a result of the control specific processing.
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
G01N 15/1433 - Signal processing using image recognition
64.
AUTOMATED SYSTEM FOR CLONE SELECTION BASED ON ANTIBODY PRODUCTION AND MEASUREMENT OF CELL HEALTH PARAMETERS
Systems and method for and automated laboratory instrument for measuring protein concentration and cell health of a biological sample. The automated laboratory instrument includes a housing containing a biological sample container for receiving at least one biological sample, a pipettor to aspirate and dispense the biological sample, a titer instrument to receive the biological sample and measure protein concentration of the biological sample, a cell health instrument to receive the biological sample and measure cell health of the biological sample and processing circuitry having a memory for storing instructions. When executed by the processing circuitry, the instructions cause the processing circuitry to aspirate the biological sample from the container into the pipettor, dispense the biological sample into the titer and cell health instruments, measure protein concentration in the biological sample with the titer instrument, and measure cell health in the biological sample with the cell health instrument.
It is possible to use a machine learning model to determine the minimum inhibitory concentration of an antimicrobial agent with respect to a microorganism across concentrations for a complete reporting range based on information gathered for only a subset of those concentrations. This may be done using a set of minimum inhibitory concentration reporting acts which comprises receiving a plurality of sets of test well evaluation values, determining a first set of machine learning inputs based on the plurality of sets of test well evaluation values, and determining the minimum inhibitory concentration based on providing the first set of machine learning inputs to the machine learning model. Corresponding systems comprising processers and non-transitory computer readable media having instructions operable to perform such methods when executed by the processor can also be implemented.
G16C 20/00 - Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
66.
METHOD, DEVICE AND SYSTEM FOR TESTING BIOLOGICAL SAMPLES IN CASE OF FAILURE DETECTION
Summarizing the invention, a method is provided. The method comprises determining, by a computing device, a failure of a laboratory instrument configured to carry out clinical tests on biological samples; accessing, by the computing device, test data comprising information specifying: a plurality of clinical tests that were carried out by the laboratory instrument and that may have been affected by the failure of the laboratory instrument, a chronological sequence of the plurality of clinical tests, and a respective plurality of test results associated with the plurality of clinical tests; identifying, by the computing device, a reference clinical test among the plurality of clinical tests, the reference clinical test being a clinical test that has not been affected by the failure of the laboratory instrument; determining, by the computing device, a proper subset of clinical tests of the plurality of clinical tests based on the reference clinical test; causing, by the computing device, the proper subset of clinical tests to be rerun.
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
Improved methods of analyzing a biological sample to determine a target analyte concentration that is corrected for interference are provided. Methods provided herein comprise analyzing a biological sample with one or more assays and applying the data to determine a corrected concentration of a target analyte. Also provided herein are clinical chemistry instruments comprising one or more assay systems, a processor configured to receive data from the one or more assay systems and determine a final concentration of a target analyte that is corrected for interference.
A pipetting system includes a syringe assembly and a probe assembly. The syringe assembly includes a pipetting air chamber that extends about a pipetting axis. The syringe assembly includes a plunger that is configured to travel between an extended state and a retracted state within the pipetting air chamber. The syringe assembly includes a pipette tip receiving region that is configured to receive a pipette tip. The probe assembly includes a probe drive housing that is configured to control movement of the probe assembly about the pipetting axis. The probe assembly includes a plunger attachment structure that is configured to control movement of the plunger about the pipetting axis. The syringe assembly is removably attached to the probe assembly such that the syringe assembly may be removed from the probe assembly without removing the probe assembly from the pipetting system.
A peristaltic pump comprising: a fixed frame (120), a rotatable member (130), a plurality of rollers (135) uniformly arranged on the rotatable member in a circumferential direction, a movable frame (140) mounted on the fixed frame, a force exerting assembly (160) configured to pinch a fluid pipe (150) between the movable frame and the plurality of rollers by applying a force to the movable frame, and a motor (170) for rotating the rotatable member. The motor (170) is configured, whenever a command to stop the rotatable member is received, firstly, continue rotating the rotatable member (130) until it reaches a position from a set of positions, wherein, for each position from the set of positions, the fluid pipe (150) is in contact with rollers (135) from the plurality of rollers only at a set of locations which is the same for each position from the set of positions, and secondly, maintain the rotatable member in the position from the set of positions until a command is received to restart rotation of the rotatable member (130) on the fixed frame (120).
Improved systems and methods for laboratory instrument calibration. A laboratory instrument retrieves a number of sets of past quality control parameters from a data structure. Each set includes a recovered value and a timestamp. The recovered value is equal to an output value adjusted by an initial calibration factor. The laboratory instrument determines that the number of sets is greater than a threshold and that each of the past quality control parameters has a timestamp that is within a time threshold. The laboratory instrument computes an updated calibration factor such that when the updated calibration factor is applied to a representative value of the recovered values, the representative value equals the expected recovered value. The instrument updates the data structure with the calibration factor such that the calibration factor is used in subsequent testing of patient specimens.
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
G01D 18/00 - Testing or calibrating apparatus or arrangements provided for in groups
G01N 31/00 - Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroupsApparatus specially adapted for such methods
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
71.
LIGHT DETECTING SYSTEM AND LIGHT DETECTING METHOD FOR FLOW CYTOMETER
A light detecting system and a light detecting method for a flow cytometer are provided. The light detecting system includes a beam separating device and multiple wavelength division multiplexing devices. The beam separating device is configured to separate a beam to be processed by the flow cytometer into multiple first beams having respective wavelength ranges that either do not overlap with each other or partially overlap with each other. Each of the multiple wavelength division multiplexing devices is configured to receive a respective one of the multiple first beams. The multiple first beams are parallel to each other when received by the multiple wavelength division multiplexing devices. Each of the multiple wavelength division multiplexing devices includes multiple light detecting devices being configured to detect a portion of the respective first beam.
A method of use with a capacitance based detector, includes aspirating a predetermined volume of liquid from a container into a probe associated with the detector. The method further includes collecting an electric detection signal of the detector. The method also includes determining a property of the liquid other than a level of the liquid in the container based on the collected electric detection signal.
G01N 35/10 - Devices for transferring samples to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
G01F 23/263 - Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measuring physical variables, other than linear dimensions, pressure or weight, dependent on the level to be measured, e.g. by difference of heat transfer of steam or water by measuring variations of capacity or inductance of capacitors or inductors arising from the presence of liquid or fluent solid material in the electric or electromagnetic fields by measuring variations in capacitance of capacitors
A method of characterizing particles by flow cytometry includes determining a first median scatter intensity of a first particle population. The first median scatter intensity is based on light scatter collected by a first detector. The method includes determining a second median scatter intensity of the first particle population. The second median scatter intensity is based on light scatter collected by a second detector. The method includes determining a ratio of the second median scatter intensity relative to the first median scatter intensity. The method includes extending a dynamic range of the first detector by multiplying the ratio by a median scatter intensity of a second particle population. The median scatter intensity of the second particle population is based on the light scatter collected by the second detector.
A system and method for recognizing one or more particle types in a sample using flow cytometry. A set of waveform data is obtained, the waveform data generated by interrogation of the sample to produce light signals from a plurality of particles within the sample, the plurality of particles including one or more particle types. The set of waveform data is segmented into a plurality of constituent particle waveforms. The constituent particle waveforms are submitted to a model and, using the model, a particle type of the one or more particle types is identified for the constituent particle waveforms.
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
75.
HIGH-THROUGHPUT IMMUNOASSAY METHODS FOR ASSESSING THE STAGES OF OVARIAN AGING
The presently claimed and described technology provides methods for detecting Anti-Mullerian Hormone (AMH) in a plasma sample using a high-throughput immunoassay analyzer.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
09 - Scientific and electric apparatus and instruments
Goods & Services
Centrifuges, centrifuge rotors, centrifuge motors, centrifuge tubes, microwell trays and plates; all the aforementioned for clinical, chemical and laboratory use.
A computer implemented method, a computing device, a laboratory instrument, a computer program product and a computer readable storage medium for selectively de-identifying protected health information (PHI) are provided. The method comprises accessing a first data file, the first data file comprising at least a first data item, wherein the first data item comprises PHI and first PHI category information, wherein the first PHI category information is indicative of a first PHI category of a plurality of PHI categories, the PHI in the first data item belonging to the first PHI category. The method further comprises accessing the first PHI category information. The method further comprises assessing, based on the first PHI category information, whether the PHI in the first data item is to be de-identified or not. If the PHI in the first data item is to be de-identified, the method further comprises generating a second data item by modifying the first data item such that the protected health information is de-identified.
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
79.
COMPUTER-IMPLEMENTED METHODS AND ASSESSING FOR THE PRESENCE OF AN ANOMALY IN A LABORATORY INSTRUMENT
An aspect of the present invention relates to a computer-implemented method comprising the steps of: obtaining, from or by a first computing device, log data, the log data comprising a first plurality of log data items; and obtaining anomaly data, the anomaly data comprising information indicative of the presence of an anomaly in a laboratory instrument, wherein the first computing device is configured to access a log file of the laboratory instrument, the log file comprising a first plurality of log file entries, each log file entry of the first plurality of log file entries comprising a plurality of fields, and to construct the log data, by, for each log data item of the first plurality of log data items: selecting first field-data of a first field of a respective log file entry, the first field of the respective log file entry specifying a respective event which has occurred in the laboratory instrument; selecting second field-data of a second field of the respective log file entry, the second field of the respective log file entry further describing the respective event occurred in the laboratory instrument, wherein the selecting of the respective second field is based on the first field-data of the respective first field of the respective log file entry; and constructing said each log data item by using the first field-data of the first field of the respective log file entry and the second field-data of the second field of the respective log file entry. Additional aspects of the present invention relate to further computer-implemented methods, a data processing system, a laboratory instrument, an automated laboratory system, a computer program product, and a computer-readable medium.
05 - Pharmaceutical, veterinary and sanitary products
Goods & Services
Diagnostic reagents for medical use; Reagents for medical use; Diagnostic agents, preparations and substances for medical purposes; Diagnostic test reagents for medical use; In vitro diagnostic preparations for medical purposes; Chemical preparations for pharmaceutical or medical purposes, namely, for use in HIV and immuno-monitoring testing.
84.
METHODS OF INSTALLATION AND SERVICE OF A MODULE IN A LABORATORY WORKSTATION
A method of installing a module associated with a life sciences laboratory workstation includes positioning at least a portion of at least one rail to extend outside the laboratory workstation; disposing the module on the at least one rail at a first position that is at least partially outside of the laboratory workstation; moving the module from the first position to a second position within the laboratory workstation via the at least one rail positioned within the laboratory workstation; transferring the module from the at least one rail to an actuator platform located within the laboratory workstation; and causing the actuator platform to position the module at a predetermined position within the laboratory workstation.
A method of characterizing particles in flow cytometry includes determining a first pulse width value of a particle using a first technique. The method includes determining a second pulse width value of the particle using a second technique. The method further includes comparing the first and second pulse width values, and characterizing the particle as a concatenated particle when a difference between the first and second pulse width values exceeds a threshold.
Aspects relate to a computer implemented method, a computer program, a computer readable medium, a data processing system and a laboratory instrument. The computer-implemented method comprises obtaining a first image depicting at least a portion of a container and determining, using a first machine learning model, the first image and a first rejection algorithm, whether the container depicted in the first image belongs to one container category of a plurality of container categories or the container depicted in the first image does not belong to any container category of the plurality of container categories. The first rejection algorithm uses an output of a hidden layer of the first machine learning model. The first machine learning model is trained to classify containers in the plurality of container categories using training images of containers. Each of the training images of the containers corresponds to exactly one container category of the plurality of container categories.
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Aspects relate to a computer implemented method, a computer program, a computer readable medium, a data processing system and a laboratory instrument. The computer-implemented method comprises obtaining a first image depicting at least a portion of a laboratory container; generating, using a first machine learning model and the first image, vector data; and determining, using the vector data and a similarity metric, whether the laboratory container depicted in the first image belongs to one laboratory container category of a plurality of laboratory container categories or the laboratory container depicted in the first image does not belong to any laboratory container category of the plurality of laboratory container categories by means of a first rejection algorithm.
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
88.
AN AUTOMATED AND HIGH-TROUGHPUT ANALYZER METHOD FOR A PHOSPHORYLATED TAU (P-TAU) 217 IMMUNOASSAY
The presently claimed and described technology provides methods for detecting phosphorylated tau (p-tau)217 in a biological sample using an immunoassay analyzer.
05 - Pharmaceutical, veterinary and sanitary products
Goods & Services
Diagnostic reagents for medical use; Reagents for medical use; Diagnostic agents, preparations and substances for medical purposes; Diagnostic test reagents for medical use; In vitro diagnostic preparations for medical purposes; Chemical preparations for pharmaceutical or medical purposes, namely, for use in HIV and immuno-monitoring testing
90.
UNIVERSAL FIXING PART FOR THE PLUNGER ROD OF A SYRINGE PUMP ASSEMBLY
A rod fixing assembly capable of attaching a rod of a syringe to a frame of a syringe pump, the rod fixing assembly including a first body associated with the frame, a complementary tilting surface fixed relative to the first body, a locking body coupled to the first body, and a rod interface housed within the first body. The locking body being capable of selectively affixing the rod of the syringe to the rod interface. The rod interface includes a tiling surface engaged with the complementary tiling surface. The tilting surface being capable of sliding relative to the complementary tilting surface while the rod interface is affixed to the rod in order to tilt the rod relative to the first body.
The present disclosure relates to a method for analyzing particles within a flow cytometry system using a computing device. The method includes receiving flow cytometry data from the flow cytometry system; assigning a probability value to the at least one event, the probability value indicating a probability that the at least one event is within a defined threshold rule to categorize an event as belonging to a cluster; displaying the probability value to the user; allowing the adjustment of the probabilistic threshold by the user; and generating an output. The output is generated by comparing the probability value to the probabilistic threshold, identifying at least one inclusive event when the probability value meets the probabilistic threshold, and displaying the at least one inclusive event to the user.
A label-free method of characterizing particles by flow cytometry. The method includes illuminating the particles with at least a first excitation light beam of a first wavelength and a second excitation light beam of a second wavelength. The method includes collecting from at least a first detector side scattered light of the first wavelength and collecting from a second detector side scattered light of the second wavelength. The method includes determining particle sizes based on the first median side scatter light intensities under the first wavelength and second median side scatter light intensities under the second wavelength.
A detection system and a sample processing instrument for nanoparticles are provided. The detection system includes a light emitting unit and a light collection unit. The light emitting unit is configured to emit a light beam and project the light beam onto a nanoparticle to be detected. The light collection unit is configured to collect light beams from the nanoparticle so as to analyze the nanoparticles according to the collected light beams. The light emitting unit includes multiple light sources and a focusing lens, and the light beams emitted by the multiple light sources are focused through the focusing lens on a same detection position through which the nanoparticle is to pass.
A system for dispensing a set of density gradients. The system calculates a dispense queue including volumes of gradient materials for dispensing the set of density gradients. The set of density gradients including at least a first density gradient and a second density gradient for dispensing into at least a first container and a second container, respectively. The system dispenses the first density gradient into the first container by dispensing one or more sections composed of mixtures of the gradient materials through a probe positioned to have a distal end at a bottom of the first container. The system purges the probe by displacing a mixture of gradient materials used for dispensing a last section of the first density gradient with a material included in the dispense queue before the dispense of the first density gradient is completed.
A system and method for preparing a spillover matrix for a flow cytometry experiment. One or more fluorochrome beads are combined with a sample of biological particles, each of the one or more fluorochrome beads including a discrete fluorochrome. A fluid stream of the combined fluorochrome beads and biological particles is directed through an interrogation location. Light is directed by a laser toward the interrogation location to produce light signals from the combined beads and biological particles. The light signals are converted to waveform data via one or more detectors, and an event is identified from the waveform data associated with the one or more fluorochrome beads. Values associated with the event are measured, and the spillover matrix is generated based on the values.
One embodiment of the invention is directed to a method comprising receiving instruction data relating to a sample in a sample container. The method includes generating, by at least one processor using a workflow management layer, a process plan for the sample, and providing the process plan to a process control layer. The process plan comprises a plurality of possible routes. The method also comprises selecting, by the at least one processor using the process control layer, an optimized route within the plurality of possible routes in the process plan, and providing the optimized route to a middleware control layer. The at least one processor and middleware control layer are operable to cause a transport system to proceed along the selected route.
A method of performing a flow cytometry experiment includes determining a volume of sample held in a container prior to streaming the sample through an interrogation location. The method includes monitoring the volume of the sample held in the container while running the flow cytometry experiment. The method includes determining whether the volume of the sample held in the container satisfies a threshold volume for performing the flow cytometry experiment, and generating an alert when the volume of the sample held in the container does not satisfy the threshold volume for performing the flow cytometry experiment.
Aspects relate to a method, a data processing system, a laboratory instrument, a computer program and a computer-readable medium. The method comprises obtaining, by a computing device, a relational result for a first clinical test. The first clinical test is carried out on a biological sample by a first laboratory instrument, the biological sample being in a sample container. The relational result comprises first information and second information, the first information specifying that a laboratory result for the first clinical test is outside a reliability range for the first clinical test carried out by the first laboratory instrument and the second information specifying one or more of an upper bound and a lower bound of the reliability range. The method further comprises assessing, by the computing device, whether a condition of a laboratory rule is determinable by using the first information and the second information. The laboratory rule specifies one or more actions that are to be taken depending on the outcome of a determination of the condition. At least one action of the one or more actions is to be taken on one or more of the biological sample, the sample container and the relational result and/or the one or more actions comprise displaying information about one or more of the biological sample, the sample container, the relational result and a patient. If the condition is determinable and, according to the outcome of the determination of the condition, the one or more actions are to be taken, the method comprises causing, by the computing device, the one or more actions to be taken.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G01N 35/00 - Automatic analysis not limited to methods or materials provided for in any single one of groups Handling materials therefor
99.
DETERMINING PARAMETER VALUES IN A BIOLOGICAL ANALYZER
Mean corpuscular parameter values for a sample, such as a mean corpuscular hemoglobin or mean corpuscular volume for the red blood cells in a sample, can be calculated based on individual cell corpuscular parameter values for the red blood cells in the sample. These values may be obtained using a machine learning algorithm. Such a machine learning algorithm may be trained using sets of training images annotated with transducer derived mean corpuscular parameter values, thereby allowing a flow imaging based analyzer to provide parameter values which may otherwise not be available with that type of analysis tool.
The present disclosure relates to systems and methods for analyzing particles within a flow cytometry system. A method for analyzing particles within a whole blood sample includes receiving a whole blood sample. Furthermore, the method includes receiving a panel selection relating to one or more constituents within the whole blood sample, wherein the one or more constituents include one or more desired constituents. Furthermore, the method includes adding at least one labeling reagent to the whole blood sample, wherein the at least one labeling reagent is configured to label the one or more desired constituents. Further yet, the method includes collecting flow cytometry data from the whole blood sample and analyzing the one or more constituents.
G01N 15/14 - Optical investigation techniques, e.g. flow cytometry
G01N 15/01 - Investigating characteristics of particlesInvestigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
