Microfluidic device for cell sorting and detection and method thereof

Abstract

The invention discloses a microfluidic device for cell sorting and detection and a method thereof, the device comprises a chip and a glass sheet, one side of the chip in contact with the glass sheet is engraved with a flow channel, the flow channel is divided by a plurality of fences, and the tops of the fences are in close contact with the glass sheet; wherein the chip is divided into a region Aand a region B, the region A is close to a flow channel inlet, a plurality of cross-shaped fences are distributed on the region A, the region B is close to a flow channel outlet, a plurality of trapezoidal or triangular fences are distributed on the region B, and the left-right spacing of the trapezoidal or triangular fences on the region B is gradually reduced row by row according to the flowingdirection of a sample; and a flow channel outlet is correspondingly formed between two adjacent rows of fences in the region B, and a microscopic image acquisition device is arranged above each flow channel outlet. According to the device and the method disclosed by the invention, cells with different sizes can be automatically and accurately sorted, classification and identification are carried out by combining an image identification algorithm, the cell activity can be retained, and the flux is extremely high.

Description

technical field [0001] The invention relates to the field of microfluidic technology, in particular to a microfluidic device and method for cell sorting and detection. Background technique [0002] The use of computer image processing and pattern recognition can identify cells quickly, without damage, and at low cost. This function is of great significance to the study of the type, quantity, and distribution of algae in marine ecosystems; Distribution and other studies are also very important. However, due to the difference in cell size, cell image overlap and inaccurate focus will be caused during image acquisition, which will greatly reduce the accuracy of microscopic identification of cells. [0003] The method to solve the above problems in the prior art is mainly to dilute the cell solution, however, this will greatly reduce the throughput of cell analysis and increase the detection time. In addition, flow cytometry can also be used for cell image acquisition. Imaging...

AI Technical Summary

Problems solved by technology

However, flow cytometry equipment is bulky, cannot be used on-site or in situ, and is extremely expensive

In addition, traditional cell recognition technology cannot classify cells, and do a good job of preprocessing for the next step of analysis and research

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