The application 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 cooperative monitoring module.In the application, cell
image gradient intensity analysis is carried out, cell
edge detection is refined, and a segmentation threshold is dynamically adjusted, so that cell boundary extraction is ensured to be high in precision,
noise interference is avoided,
cell shape, texture and geometric features are refined, the recognition degree of morphological features is improved,
cell morphology micro changes are accurately captured, cell behavior is dynamically tracked and trend evaluation is carried out based on adjacent frame images, and the dynamic changes such as
cell division, aggregation and migration are accurately reflected, over-
smoothing in a dynamic process is avoided, cell
population behavior monitoring is combined with interaction and corresponding speed calculation,
population cooperative effect change trends are comprehensively evaluated, and more refined
cell culture environment optimization and
clinical research support are provided.