An analyzer of a component in a sample fluid includes an optical source and an optical detector defining a beam path of a beam, wherein the optical source emits the beam and the optical detector measures the beam after partial absorption by the sample fluid, a fluid flow cell disposed on the beam path defining an interrogation region in the a fluid flow cell in which the optical beam interacts with the sample fluid and a reference fluid; and wherein the sample fluid and the reference fluid are in laminar flow, and a scanning system that scans the beam relative to the laminar flow within the fluid flow cell, wherein the scanning system scans the beam relative to both the sample fluid and the reference fluid.

A method for determining a characteristic of particles in a fluid sample and/or a contamination characteristic of the fluid sample includes: (a) depositing a metallic film on a surface of a substrate; (b) bringing the fluid sample into contact with the metallic surface; (c) removing the fluid sample from the metallic surface; (d) depositing a layer of metal on the metallic surface and the particles which remained on the metallic surface; (e) illuminating the layers of metal on the particles and metallic surface with electromagnetic rays; or illuminating the layers of metal with electromagnetic rays; (f) receiving the scattered electromagnetic rays at an array of photodiodes; or receiving the reflected electromagnetic rays at an array of photodiodes; (g) forming an image which includes pixels; and (h) processing the formed image to determine a characteristic of the particles and/or a contamination characteristic of the fluid sample.

Systems and methods for classifying T cells by activation state are disclosed. The system includes a cell analysis pathway, a time-resolved autofluorescence decay spectrometer, a processor, and a non-transitory computer-readable memory. The memory is accessible to the processor and has stored thereon instructions. The instructions, when executed by the processor, cause the processor to: a) receive the time-resolved autofluorescence decay signal; b) compute at least a first phasor coordinate at a first frequency and a second phasor coordinate at a second frequency from the time-resolved autofluorescence decay signal, wherein the first and second frequency are different; and c) compute an activation prediction for the T cell using at least the first phasor coordinate and the second phasor coordinate.

The types of cells that cannot be determined by use of a conventional scattergram are determined. The problem is solved by a cell analysis method for analyzing cells contained in a biological sample, by using a deep learning algorithm having a neural network structure, the cell analysis method including: causing the cells to flow in a flow path; obtaining a signal strength of a signal regarding each of the individual cells passing through the flow path, and inputting, into the deep learning algorithm, numerical data corresponding to the obtained signal strength regarding each of the individual cells; and on the basis of a result outputted from the deep learning algorithm, determining, for each cell, a type of the cell for which the signal strength has been obtained.

Provided are systems and methods that allow for brightfield imaging in a flow cytometer, allowing for collection of fluorescence and high-quality image date. The disclosed technology also gives rise to an illumination pattern that allows a user to create different oblique or structured illumination profiles within a static system. With the disclosed approach, a user can illuminate a sample from a first direction (e.g., with laser illumination configured to give rise to one or more of fluorescence information and scattering information), collect scattering information from a second direction, collect fluorescence information from a third direction, and capture an image of the sample from a fourth direction. (Two or more of the foregoing can be accomplished simultaneously.) Also as described elsewhere herein, an illumination used to illuminate the sample for visual image capture can be communicated to the same through a lens that also collects fluorescence from the sample.

The invention relates to a method for automatically examining a liquid sample, which has a liquid and at least one particle, by means of a first measurement signal which emanates from a liquid region and which serves to determine at least one particle with a first property, and by means of a second measurement signal which emanates from the liquid region and serves to determine at least one particle with a second property, the first measurement signal and the second measurement signal being evaluated independently of one another and whether a particle condition has been satisfied in the liquid region subsequently being determined on the basis of the evaluated first measurement signal and the evaluated second measurement signal.

Provided is a particle quantitative measurement device according to which the number of particles that can be accurately recognized in a particulate sample has a wider range. An observation device 1 comprises a computer 108 and an imaging camera 107 for acquiring a sample image representing the particulate sample. As an extraction unit, the computer 108 extracts a low-brightness pixel for which I<M−kσ is satisfied for brightness I from pixels of the sample image. Here, M represents brightness for a reference image, k represents a real positive number, and σ represents a standard deviation for the brightnesses of the pixels in the reference image. The computer 108 also functions as a particle recognition unit or a particle quantitative measurement unit and quantitatively measures the particulate sample on the basis of the low-brightness pixel.

A method for determining a characteristic of particles in a fluid sample and/or a contamination characteristic of the fluid sample includes: (a) depositing a metallic film on a surface of a substrate; (b) bringing the fluid sample into contact with the metallic surface; (c) removing the fluid sample from the metallic surface; (d) depositing a layer of metal on the metallic surface and the particles which remained on the metallic surface; (e) illuminating the layers of metal on the particles and metallic surface with electromagnetic rays; or illuminating the layers of metal with electromagnetic rays; (f) receiving the scattered electromagnetic rays at an array of photodiodes; or receiving the reflected electromagnetic rays at an array of photodiodes; (g) forming an image which includes pixels; and (h) processing the formed image to determine a characteristic of the particles and/or a contamination characteristic of the fluid sample.

Detection omission is reduced. An optical measuring device according to an embodiment includes: a plurality of excitation light sources (32A to 32D) that irradiates a plurality of positions on a flow path through which a specimen flows with excitation rays having different wavelengths; and a solid-state imaging device (34) that receives a plurality of fluorescent rays emitted from the specimen passing through each of the plurality of positions, in which the solid-state imaging device includes: a pixel array unit (91) in which a plurality of pixels is arrayed in a matrix; and a plurality of first detection circuits (93) connected to a plurality of pixels not adjacent to each other in the same column of the pixel array unit, respectively.

An analyzer of a component in a sample fluid includes an optical source and an optical detector defining a beam path of a beam, wherein the optical source emits the beam and the optical detector measures the beam after partial absorption by the sample fluid, a fluid flow cell disposed on the beam path defining an interrogation region in the a fluid flow cell in which the optical beam interacts with the sample fluid and a reference fluid; and wherein the sample fluid and the reference fluid are in laminar flow, and a scanning system that scans the beam relative to the laminar flow within the fluid flow cell, wherein the scanning system scans the beam relative to both the sample fluid and the reference fluid.