The invention relates to the technical field of medical
image analysis, in particular to a CAR-
T cell culture
monitoring system based on image recognition, which comprises a
cell region division module, a
cell morphology analysis module, a
cell behavior dynamic analysis module and a cell
population collaborative monitoring module. According to the method, through cell
image gradient intensity analysis, refined cell
edge detection and dynamic adjustment of a segmentation threshold value, high-precision extraction of cell boundaries is ensured,
noise interference is avoided, cell shapes, textures and geometric features are refined, the identification degree of morphological features is improved, and tiny changes of cell morphologies are accurately captured; dynamic tracking and trend evaluation are carried out on cell behaviors based on adjacent frame images, tiny dynamic changes such as
cell division, aggregation and migration are accurately reflected, excessive smoothness in the dynamic process is avoided, cell
population behavior monitoring is combined with interaction and corresponding speed calculation, the
population synergistic effect change trend is comprehensively evaluated, and the cell population
behavior monitoring effect is improved. And finer
cell culture environment optimization and
clinical research support are provided.