G01N2015/1488

Measuring HIV Reservoirs with Optical Scanning

Devices, systems and methods detect latent HIV in a patient on anti-retroviral therapy (ART), the method comprising using optical scanning to identify in a cell sample of the patient Gag+CD4 downregulated cells as in indication of latent HIV.

SYSTEM AND METHOD FOR DISTINGUISHING BLOOD COMPONENTS
20170322198 · 2017-11-09 ·

A method for measuring concentrations of blood cell components is provided. The method comprises: obtaining a blood sample from a subject, the blood sample comprising red blood cells (RBCs), white blood cells (WBCs), and platelets (PLTs); mixing the blood sample with a non-lysing aqueous solution to form a sample mixture comprising a predetermined tonicity; passing the sample mixture through a flow cell; emitting light towards the flow cell; measuring an amount of light absorbed by the RBCs; measuring an amount of light scattered by WBCs, and PLTs; determining a concentration of each of the RBCs, WBCs, and PLTs present in the sample mixture from the measured amount of light absorbed by the RBCs and scattered by the WBCs and PLTs.

Basophil analysis system and method

Provided herein are systems and methods for analyzing blood samples, and more specifically for performing a basophil analysis. In one embodiment, the systems and methods include: (a) staining a blood sample with an exclusive cell membrane permeable fluorescent dye; and then (b) using measurements of light scatter and fluorescence emission to distinguish basophils from other WBC sub-populations. In one embodiment, the systems and methods include performing a basophil cluster analysis of the blood sample, based on the combination of light scatter and fluorescence measurements.

IMAGE CYTOMETER IMPLEMENTATION

The present invention relates to methods and systems for image cytometry analysis, in particular using light sources to be cooled. Thereby is provided optimal light conditions for image cytometry.

ANALYTE DETECTION AND METHODS THEREFOR
20210405033 · 2021-12-30 ·

Disclosed are methods and systems for analyte detection in a sample and more particularly, a biological sample. Methods and systems particularly relate to differentiating and/or identifying cell types in biological samples, such as blood samples, by adding antibodies specific to predetermined CD antigens. Other methods and systems relate to controlling the dynamic range of an assay for analyte detection.

Clipping-Assisted Dual-Fluorophore Sensing
20220228987 · 2022-07-21 ·

A method is provided for characterizing a biological sample having a plurality of fluorophores, including a red fluorophore and a blue fluorophore, comprises exciting the red fluorophore via absorption of a photon order of n by a single wavelength band of light that has longer wavelengths than a typical wavelength band of light known to excite the red fluorophore would have. The method further comprises exciting the blue fluorophore substantially via absorption of a photon order of n+1 by the single wavelength band of light. The method also comprises simultaneously detecting light emitted by the red fluorophore and the blue fluorophore. The method further comprises creating an image or a temporal series for sensing from the light detected in the plurality of orthogonal colors.

A FLOW CYTOMETRIC DETECTION METHOD FOR LYMPHOCYTE IN IMMUNE CELLS

The present application relates to a flow cytometric detection method for lymphocytes in immune cells. The method includes steps of: a) lymphocyte samples stained with immunofluorescent antibodies were added into the pre-cooled PBS-EDTA solution, and the cells were mixed and prepared for flow cytometry detection; b) starting up and warming up a flow cytometer system, adjusting the flow speed, then adding PBS-EDTA solution into a sample tube, and flushing a nozzle system of liquid stream; c) the sample of homogenous cells obtained in step a) is added to the sample tube and then tested. The present detection method can separate cell subpopulations, so that the analysis and detection are more accurate, and is especially suitable for detecting cell subpopulations with small number of cells, thereby saving antibodies and reagents.

MULTIPLEXED SINGLE-CELL ANALYSIS USING OPTICALLY-ENCODED RNA CAPTURE PARTICLES
20210382061 · 2021-12-09 ·

An apparatus for capturing biological material. The apparatus includes: an optically readable capture particle (ORCP) including: one or more optically readable particles (ORPs) each including an optical barcode to identify the ORCP; and a plurality of biological capture sites associated with the one or more ORPs, each of the plurality of biological capture sites including a cellular barcode to identify the ORCP.

Automated body fluid analysis
11193927 · 2021-12-07 · ·

Methods, devices, and systems for automated cellular analysis of a body fluid sample are disclosed. The methods, devices, and systems apply watershed transform to data, generated by flowing a body fluid sample through a flow cytometer, to determine threshold(s) to be used for analysis of the data.

DEVICE AND METHOD FOR DETECTING AND IDENTIFYING EXTRACELLULAR VESICLES IN A LIQUID DISPERSION SAMPLE

Device and method for detecting dispersed extracellular vesicles in a liquid dispersion sample, said method using an electronic data processor for classifying the sample as having, or not having, extracellular vesicles present, the method comprising the use of the electronic data processor for pre-training a machine learning classifier with a plurality of extracellular vesicle liquid dispersion specimens comprising the steps of: emitting a laser modulated by a modulation frequency onto each specimen; capturing a temporal signal from laser light backscattered by each specimen for a plurality of temporal periods of a predetermined duration for each specimen; calculating specimen DCT or Wavelet transform coefficients from the captured signal for each of the temporal periods; using the calculated coefficients to pre-train the machine learning classifier; wherein the method further comprises the steps of: using a laser emitter having a focusing optical system coupled to the emitter to emit a laser modulated by a modulation frequency onto the sample; using a light receiver to capture a signal from laser light backscattered by the sample for a plurality of temporal periods of a predetermined duration; calculating sample DCT or Wavelet transform coefficients from the captured signal for each of the temporal periods; using the pre-trained machine learning classifier to classify the calculated sample coefficients as having, or not having, extracellular vesicles present.