Automatic stem cell counting method based on depth learning

Abstract

The invention discloses an automatic stem cell counting method based on depth learning, which relates to the technical field of cell counting. The method comprises the following steps: S11, a phase contrast microscope is adopted to photograph cells in need of counting, and a stem cell image is generated; S12, image preprocessing is carried out, and the cell image is subjected to noise reduction processing and illumination equalization processing to obtain a stem cell image with equalized illumination; S13, a cell artifact generated during the photographing process by the phase contrast microscope is removed; S14, the stem cell image after the artifact is removed is segmented, and multiple candidate stem cell images are acquired; S21, the segmented multiple candidate stem cell images are manually marked, and a training set is built; S22, the training set is inputted to a CNN for training; and S23, a stem cell counting result is counted. The defect that a large amount of manpower is consumed in the traditional manual cell counting can be solved, the defect that a flow counting method damages the cell growth environment is overcome, counting is carried out through the photographed cell image, and the method has the advantages of being stable, efficient, automatic and lossless.

Description

technical field [0001] The invention relates to the technical field of cell counting, in particular to an automatic stem cell technology method based on deep learning. Background technique [0002] With the advancement of human science, more and more researchers are devoted to revealing the mysteries of life. Stem cells are a type of cell that can replicate and proliferate by itself, and under certain circumstances, can differentiate into other types of cells. Therefore, research on the growth, proliferation and differentiation of stem cells is an important research direction in cell biology. [0003] Accurate cell counting is of great significance to the research work of cell growth and division. The existing traditional cell research method mainly uses researchers to directly observe cell samples through a microscope, which not only consumes a lot of time, but also has complicated procedures. There is serious subjectivity. In addition, in order to study the division, pr...

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Problems solved by technology

[0008] The purpose of the present invention is: according to the background technology, there are following technical problems in the prior art: (1) the Walter counting method can destroy the stable environment of stem cell growth on the culture medium, and affect the results of the research; (2) artificial The statistical method has a huge workload and consumes a lot of valuable human resources. When the amount of data is large, this method is almost impossible to realize, and the manual counting method has a certain degree of subjectivity. Although the counting is relatively accurate, due to the inconsistent professional level of the observers, there are Misjudgment of the state of cells may occur; (3) counting by flow cytometer will destroy the actual spatial position of the sample, and the sample preparation before entering the cytometer requires a lot of manual participation

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