Flow cell intelligent immunophenotyping method and device, and electronic equipment

Abstract

The invention provides a flow cell intelligent immunophenotyping method and device, and electronic equipment. The method comprises the following steps that: obtaining the position coordinate of each cell in a flow sample in a coordinate system which takes different antigen molecular weights on the surface of the cell as a coordinate axis; according to the position coordinate, dividing cells in theflow sample into a plurality of cell groups; identifying the respective cell category of the plurality of cell groups; judging whether the position coordinates of cells in each cell group are positioned in a preset range corresponding to the cell category of the cell group or not; and when a judgment result shows that the position coordinates of the cells in the cell group are not positioned in the preset range corresponding to the cell category of the cell group, determining that the cell group is an exceptional group. By use of the method, cell grouping is realized by artificial intelligence, the judgment of the exceptional group is realized through a neural network model, the labor intensity of professionals is greatly lowered, and meanwhile, the accuracy and the efficiency of flow cell immunophenotyping are improved.

Description

technical field [0001] The invention relates to the field of flow cytology, in particular to a method and device for flow cytometry intelligent immunotyping, electronic equipment, computer program products, and a computer-readable storage medium. Background technique [0002] The cell surface antigen molecules that appear or disappear during different stages of blood cell differentiation and cell activation are collectively called cell differentiation groups, and different differentiation antigen clusters are expressed in erythrocytes, leukocytes, platelets, megakaryocytes, and non-hematopoietic cells. When hematologic malignancies occur, the cells lose the serial specificity and regularity of differentiation stages of normal cells. Flow cytometry can be valuable in determining its source and differentiation stage, judging the existence of minimal residual lesions, and predicting prognosis. [0003] Most of the existing flow cytometry immunophenotyping methods use flow cyto...

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Problems solved by technology

[0008] In view of this, the embodiments of the present invention are dedicated to providing a method and device for flow cytometry intelligent immune typing, which replaces the existing manual operation by means of artificial intelligence, and solves the problems of high subjectivity, high labor intensity, and problems in the prior art. and low efficiency

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