G01N15/1433

Method for analyzing state of cells in spheroid

The present invention provides a method and an apparatus for analyzing a cell state, cell death in particular, in an interior of a spheroid non-invasively and quantitatively when the spheroid is cultured. More specifically, the present invention provides a method and an apparatus for analyzing a cell state by implementing optical imaging of a spheroid by using an optical instrument characterized by a high resolution and analyzing the internal structure of the spheroid.

Methods and systems for image data processing
10846508 · 2020-11-24 · ·

Methods, storage mediums, and systems for image data processing are provided. Embodiments for the methods, storage mediums, and systems include configurations to perform one or more of the following steps: background signal measurement, particle identification using classification dye emission and cluster rejection, inter-image alignment, inter-image particle correlation, fluorescence integration of reporter emission, and image plane normalization.

Method to combine brightfield and fluorescent channels for cell image segmentation and morphological analysis using images obtained from imaging flow cytometer (IFC)
10846509 · 2020-11-24 · ·

A classifier engine provides cell morphology identification and cell classification in computer-automated systems, methods and diagnostic tools. The classifier engine performs multispectral segmentation of thousands of cellular images acquired by a multispectral imaging flow cytometer. As a function of imaging mode, different ones of the images provide different segmentation masks for cells and subcellular parts. Using the segmentation masks, the classifier engine iteratively optimizes model fitting of different cellular parts. The resulting improved image data has increased accuracy of location of cell parts in an image and enables detection of complex cell morphologies in the image. The classifier engine provides automated ranking and selection of most discriminative shape based features for classifying cell types.

PHASE-CALIBRATION FOR IMAGING FLOW CYTOMETRY

Aspects of the present disclosure include methods for phase correcting signals from a light detection system (e.g., in a flow cytometer). Methods according to certain embodiments include detecting light from a sample having particles in a flow stream with a light detection system that includes a brightfield photodetector configured to generate a brightfield data signal and a fluorescence detector configured to generate a fluorescence data signal and calculating a phase correction for the fluorescence detector based on the relative phase between the brightfield data signal and the fluorescence data signal. Systems having a processor with memory operably coupled to the processor having instructions stored thereon, which when executed by the processor, cause the processor to calculate a phase correction for a fluorescence detector based on a brightfield data signal and a fluorescence data signal from the fluorescence detector are also described. Integrated circuit devices (e.g., field programmable gate arrays) having programming for practicing the subject methods are also provided.

Particle measuring device and particle measuring method

Provided is a particle measuring device and a particle measuring method for measuring a particle size with favorable accuracy. A flow cell (1) includes a flow passage (1a) of sample fluid. An irradiation optical system (3) irradiates, with light from a light source (2), the sample fluid in the flow passage (1a). An imaging unit (4) captures, from an extension direction of the flow passage (1a), an image of scattered light from the particle in a detection region in the flow passage (1a), the light passing through the detection region. A particle size specifying unit specifies a movement amount of the particle in a two-dimensional direction by Brownian motion based on multiple still images of a particle image captured at a predetermined frame rate by the imaging unit (4), thereby specifying the particle size of the particle from the movement amount in the two-dimensional direction.

POINT OF NEED TESTING DEVICE AND METHODS OF USE THEREOF

The present invention relates to the rapid and electricity-free, point-of-care, multiplexed detection and quantification of at least one or more nucleic acid sequences from nucleic acids corresponding to a plurality of pathogens or biomarkers using a micropatterned lateral flow device. Rapid and molecular-level sensitive differential diagnosis of a disease condition may be enabled without the need for a delayed laboratory test so that timely treatment can be administered.

MICRO-RESONATOR AND FIBER TAPER SENSOR SYSTEM
20200355678 · 2020-11-12 ·

A micro-resonator and fiber taper based sensing system, which uses mode splitting or frequency shift methods and polarization measurements for particle sensing.

Automated detection and repositioning of micro-objects in microfluidic devices

Methods are provided for the automated detection of micro-objects in a microfluidic device. In addition, methods are provided for repositioning micro-objects in a microfluidic device. In addition, methods are provided for separating micro-objects in a spatial region of the microfluidic device.

Methods and apparati for nondestructive detection of undissolved particles in a fluid
10832433 · 2020-11-10 · ·

The apparati, methods, and computer program products disclosed herein can be used to nondestructively detect undissolved particles, such as glass flakes and/or protein aggregates, in a fluid in a vessel, such as, but not limited to, a fluid that contains a drug.

Identifying candidate cells using image analysis with intensity levels

Techniques for identifying and enumerating candidate target cells within a biological fluid specimen are described. A digital image of the biological fluid specimen is received, and one or more candidate regions of pixels in the digital image are identified by identifying connected regions of pixels of a minimum intensity having a size between a minimum size and a maximum size and an aspect ratio that meets a threshold. For each candidate region of at least one of the one or more candidate region, whether the portion of the image corresponding to the candidate region includes more than a threshold number of intensity levels is determined. If the portion of the image corresponding to the candidate region includes more than the threshold number of intensity levels the portion of the image is continued to be treated as a candidate for classification.