Multi-factor cell factor automatic analysis method

Abstract

The invention relates to a multi-factor cell factor automatic analysis method. The method comprises the following steps of extracting flow cytometry data in an FCS format or LMD format file; removing cell debris from the FSC-Hs of all the cells; dividing the effective cells into a plurality of cell populations, and re-dividing a plurality of cell populations into two cell populations; dividing the two cell populations into a plurality of cell populations with the same number as the detected cell factors; carrying out peak number detection of a nuclear density probability density function curve on the fluorescence intensity of all cell antibodies APC in each cell population; continuously grouping the cell population; combining the cell population with the cell count less than 60 with the cell population with the nearest distance; enabling each cell population to correspond to the detected cell factors; carrying out outlier detection on the fluorescence intensity of the PE antibodies of all cells in each cell population, and removing outliers; and calculating the average fluorescence intensity of the cell population PE antibody of each cell factor. The method can effectively remove noise interference and intensity fluctuation to obtain accurate fluorescence intensity of the cell population.

Description

technical field [0001] The invention relates to a cytokine analysis method. In particular, it relates to a method for automatic analysis of multifactorial cytokines. Background technique [0002] Cytokine is a very small amount in the body, mainly through the corresponding cell receptors, the general molecular weight is less than 10kd, most of the polypeptides distributed around 3kd, transmitted through blood or lymph, through autocrine, endocrine Or paracrine for communication and signal exchange between cells. Cytokines play an important role in physiological and pathological processes such as immune regulation, inflammatory response, and tumor metastasis. The detection of cytokines is not only an effective method for basic immune research, but also has important value in clinical disease diagnosis, disease course observation, curative effect judgment and cytokine therapy monitoring. [0003] Cytokine flow analysis is a combination of anti-cytokine antibodies and cell s...

AI Technical Summary

Problems solved by technology

[0005] 1. The distribution of the two-dimensional scatter plots in each data is not the same, so the selection of cells according to a fixed range will affect the effect of cell classification to a certain extent;

[0006] 2. Manual selection will affect the results of cell classification due to the supervisory factors of the operator, and will also require labor costs

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