An imaging flow cytometer device includes a housing holding a multi-color illumination source configured for pulsed or continuous wave operation. A microfluidic channel is disposed in the housing and is fluidically coupled to a source of fluid containing objects that flow through the microfluidic channel. A color image sensor is disposed adjacent to the microfluidic channel and receives light from the illumination source that passes through the microfluidic channel. The image sensor captures image frames containing raw hologram images of the moving objects passing through the microfluidic channel. The image frames are subject to image processing to reconstruct phase and/or intensity images of the moving objects for each color. The reconstructed phase and/or intensity images are then input to a trained deep neural network that outputs a phase recovered image of the moving objects. The trained deep neural network may also be trained to classify object types.

Methods for classifying fluorescent flow cytometer data are provided. In some instances, methods include processing the flow cytometer data with a supervised algorithm configured to cluster the fluorescent flow cytometer data into distinct populations according to the relationship of data points to relevant threshold values. In embodiments, methods include determining a measure of spillover spreading by calculating spillover spreading coefficients and combining them in a spillover spreading matrix. In some embodiments, populations of fluorescent flow cytometer data are adjusted to subtract the magnitude of spillover spreading. In embodiments, spillover spreading adjusted populations are partitioned after potential partitions are evaluated relative to the threshold values. In embodiments, partitioned populations of fluorescent flow cytometer data are classified (i.e., phenotyped) according to a hierarchy. Systems and computer-readable media for classifying fluorescent flow cytometer data are also provided.

Aspects of the present disclosure include a method for sorting cells of a sample based on an image of a cell in a flow stream. Methods according to certain embodiments include detecting light from a sample having cells in a flow stream, generating an image mask of a cell from the sample and sorting the cell based on the generated image mask. 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 generate an image mask of a cell in a sample in a flow stream and to sort the cell based on the generated image mask are also described. Integrated circuit devices (e.g., field programmable gate arrays) having programming for generating an image mask and for determining one or more features of the cell are also provided.

A device and method of using the device to detect the presence and composition of clots and other target objects in a circulatory vessel of a living subject is described. In particular, devices and methods of detecting the presence and composition of clots and other target objects in a circulatory vessel of a living subject using in vivo photoacoustic flow cytometry techniques is described.

A measuring device according to the present technology includes a light emitting unit configured to emit light to a fluid, a light receiving unit configured to perform photoelectric conversion for incident light using an electron avalanche phenomenon by a plurality of pixels to obtain a light reception signal, and a control unit configured to perform processing of detecting a target object in the fluid on the basis of the light reception signal and execute an imaging operation of the target object on condition that the target object is detected.

A system for characterizing at least one particle from a fluid sample is disclosed. The system includes a filter disposed upstream of an outlet, and a luminaire configured to illuminate the at least one particle at an oblique angle. An imaging device is configured to capture and process images of the illuminated at least one particle as it rests on the filter for characterizing the at least one particle. A system for characterizing at least one particle using bright field illumination is also disclosed. A method for characterizing particulates in a fluid sample using at least one of oblique angle and bright field illumination is also disclosed.

This flow cytometer includes a flow path through which an observation object flows with a fluid; an optical illumination system including a spatial optical modulation device, and a first optical element; and an optical detection system including a first light detector, wherein the optical illumination system further includes a first spatial filter disposed in a first optical path between a light source and an image position of light imaged in the flow path by the first optical element and having a first region which hinders traveling of light emitted from the light source towards the observation object, the optical detection system further includes a second light detector disposed in a second optical path between the first light detector and the image position and having a second region which directs the light modulated by the observation object towards the first light detector, and the position of the first region and the position of the second region are in a substantially optically conjugate relationship.

A classifying device for classifying cells in real-time, comprising: as alignment unit configured to align a cell to be classified along the cell's major axis; and a classifying unit configured to classify the aligned cell using a multilayer perceptron, MLP; wherein the MLP classifies the aligned cell based on one or more images of the aligned cell. By executing the classifying device, an improved and efficient cell classification in real-time based on cell images can be provided, while labelling of the cells to be classified can be avoided.

A device for detecting particles in air; said device comprising: a flow channel configured to allow a flow of air comprising particles through the flow channel; a light source configured to illuminate the particles, such that an interference pattern is formed by interference between light being scattered by the particles and non-scattered light from the light source; an image sensor configured to detect incident light, detect the interference pattern, and to acquire a time-sequence of image frames, each image frame comprising a plurality of pixels, each pixel representing a detected intensity of light; and a frame processor configured to filter information in the time-sequence of image frames, wherein said filtering comprises:
identifying pixels of interest in the time-sequence of image frames, said pixels of interest picturing an interference pattern potentially representing a particle in the flow of air, and outputting said identified pixels of interest for performing digital holographic reconstruction.

The present disclosure provides a chip, a microfluidic device including the chip, and a method for sorting target droplets. The chip includes a first container for accommodating a first fluid, a second container for accommodating a second fluid, a delivery channel including a first flow channel communicating with the first container and a second flow channel communicating with the second container, the first flow channel and the second flow channel intersecting and communicating with each other at a junction, and at least one collector. A portion of the first flow channel includes the junction and is divided into two sections by the junction, in each section, the section thickens gradually along a first direction away from the junction. The second flow channel includes the junction and is divided into two sections by the junction, in each section, the section thickens gradually along a second direction away from the junction.