CELLULAR ANALYSIS METHOD, TRAINING METHOD FOR DEEP LEARNING ALGORITHM, CELLULAR ANALYSIS DEVICE, TRAINING DEVICE FOR DEEP LEARNING ALGORITHM, CELLULAR ANALYSIS PROGRAM AND TRAINING PROGRAM FOR DEEP LEARNING ALGORITHM Russian patent published in 2024 - IPC G16B40/20 

FIELD: biotechnology.

SUBSTANCE: invention relates to bioinformatics. Disclosed is a cell analysis method for analysing cells for determining a cell type. Described is a cell analyser configured to determine the type of each of the cells, and a data medium storing a computer program for cell analysis. Disclosed group of solutions is aimed at determining types of cells, which cannot be determined using a conventional scatter diagram. Task is solved using a cell analysis method for analysing cells contained in a biological sample using a deep learning algorithm having a neural network structure, wherein the cell analysis method includes: causing the cells to flow through the flow path; obtaining a signal level for a signal relative to each of the individual cells passing through the flow path, and input into the deep learning algorithm, numerical data corresponding to the obtained signal level relative to each of the individual cells; and, based on the result, deriving from the deep learning algorithm for each cell the type of cell for which the signal level was obtained.

EFFECT: invention extends the range of means for determining cell types in a sample.

21 cl, 28 dwg, 1 ex