A label-free cell flow sorting method based on a polarization diffraction imaging flow cytometer comprises the following steps: establishing a convolutional neural network classification model; training and examining the established convolutional neural network classification model according to the types of cells to be sorted; calling FPGA programming software to generate the FPGA code of the convolutional neural network classification model; writing the FPGA code into an FPGA chip in a real-time image recognition unit; and sorting the cells. The label-free cell flow sorting method based on the polarization diffraction imaging flow cytometer can quickly can be used to rapidly obtain an label-free cell diffraction image and recognize the cell type corresponding the diffraction image in realtime, and the cells are timely sorted by a micro-fluidic device to achieve the purpose of classification collection of unlabeled cells.

Label-free cell flow sorting method based on polarization diffraction imaging flow cytometer

Aspects of the present disclosure include reconfigurable integrated circuits for characterizing particles of a sample in a flow stream. Reconfigurable integrated circuits according to certain embodiments are programmed to calculate parameters of a particle in a flow stream from detected light; compare the calculated parameters of the particle with parameters of one or more particle classifications; classify the particle based on the comparison between the parameters of the particle classifications and the calculated parameters of the particle; and adjust one or more parameters of the particle classifications based on the calculated parameters of the particle. Methods for characterizing particles in a flow stream with the subject integrated circuits are also described. Systems and integrated circuit devices programmed for practicing the subject methods, such as on a flow cytometer, are also provided.

Reconfigurable integrated circuits for adjusting cell sorting classification

A cell sorting system is provided to comprise: an imaging device including a beam scanner scanning a beam along a first direction to obtain a cell image data including fluorescent information or cell image information of a cell, the beam applied to the cell flowing in a channel along a second direction with an angle to the first direction; a data processing and control device in communication with the imaging device, the data processing and control device including a processor configured to process the cell image data obtained by the imaging device to determine one or more properties associated with the cell from the processed cell image data and to produce a control command based on a comparison of the determined one or more properties with a sorting criteria, and a cell sorting device in communication with the imaging device and the data processing and control device.

Cell sorting device and method

Disclosed are systems, devices and methods for imaging and image-based sorting of particles in a flow system, including cells in a flow cytometer. In some aspects, a system includes a particle flow device to flow particles through a channel, an imaging system to obtain image data of a particle during flow through the channel, a processing unit to determine a property associated with the particle and to produce a control command for sorting the particle based on sorting criteria associated with particle properties, and an actuator to direct the particle into one of a plurality of output paths of the particle flow device in real-time.

Image-based cell sorting systems and methods

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Image-based cell sorting systems and methods