Certain aspects of the present disclosure generally relates to devices and methods for determining, treating, and/or isolating cells of interest, e.g., within a mixture of cells. In some cases, the cells may be cells infected with viruses, such as coronaviruses. In some embodiments, blood samples (or other biological fluids, such as saliva) may be treated with a pH-sensitive entity. The pH-sensitive entity may be one that is able to change color or otherwise produce a signal in suitable internal environments. For example, cells infected by viruses, such as coronaviruses, may have differences in intracellular pH compared to other cells, which can be detected, for example, using pH-sensitive entities. In certain embodiments, the cells may be sorted based on such signaling entities; for example, illumination of cells in a suitable machine for sorting cells (e.g., using fluorescent light) may allow determination of the cells, which may also be recovered or isolated for further manipulation in some cases.

Microfluidic method and device that can be used for sensing and measurement of properties of liquids, gases, solutions, and particles is proposed, wherein the measurable liquid or gas (with or without particles) flow in at least one channel through a measurement chamber (cell) formed between at least two isolated electrodes is used for electrical impedance measurement. The proposed solution is characterized in that the cross-section of at least one pair of similar spatial electrodes decreases smoothly towards the tiny measurement chamber (cell) in order to increase the sensitivity and accuracy of the measurement. Typically, a device with multiple similar channels is advantageous to use for comparative measurement and differential measurement schemes.

Disclosed herein include systems, devices, methods, and spillover editor for displaying and editing spillover values. A view of a spillover editor can comprise a triangular grid of rows and columns, representing flourophores, each comprising at least one display area and two spillover values. After receiving an adjusted spillover value, an adjusted view of the spillover editor can comprise adjusted plots determined using the adjusted spillover value.

A discrimination system that forms a fluid column and interrogates objects within the fluid column with an excitation source. An optical arrangement collects output electromagnetic radiation emanating from the excited objects disposed within the fluid column and directs the output electromagnetic radiation to a detector. An analyzer reduces the positional dependency of the detected intensity by normalizing the value based on the position of each object.

Various systems, methods, and devices are provided for focusing particles suspended within a moving fluid into one or more localized stream lines. The system can include a substrate and at least one channel provided on the substrate having an inlet and an outlet. The system can further include a fluid moving along the channel in a laminar flow having suspended particles and a pumping element driving the laminar flow of the fluid. The fluid, the channel, and the pumping element can be configured to cause inertial forces to act on the particles and to focus the particles into one or more stream lines.

A urine analysis system according to an embodiment includes: a testing apparatus that measures particles included in a urine sample according to a flow cytometry method; an image capturing apparatus that captures images of particles in the urine sample to acquire particle images; and a management apparatus that receives a measurement result obtained by the testing apparatus and the particle images acquired by the image capturing apparatus. The management apparatus generates an order to capture an image of the urine sample based on the measurement result obtained by the testing apparatus. The image capturing apparatus executes the image capturing processing of the particles in the urine sample for which the image capturing order has been generated by the management apparatus, and transmits the acquired particle images to the management apparatus.

A blood cell analysis method and a blood cell analyzer are provided. In the method and analyzer, characteristic information of white blood cell fragments is obtained based on side scattered light information and fluorescence information, characteristic information of platelets is obtained based on forward scattered light information and fluorescence information and then a count value for the platelets is acquired based on the characteristic information of the platelets and the characteristic information of the white blood cell fragments. The present invention can avoid the influence of the white blood cell fragments on the platelet counting, thereby ensuring the accuracy of the platelet counting without increasing costs.

A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.

A cell detection method and a cell detection device. The cell detection method includes: dividing a liquid sample into a plurality of droplets in a sample detection region so that each of the plurality of droplets includes fewer than ten cells; and performing optical detection on the plurality of droplets in the sample detection region to determine a target droplet including a target cell from the plurality of droplets.

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.