The application discloses a
reticulocyte identification and grading
system based on blood smears, and particularly relates to the field of medical
cell morphology inspection, and comprises an
image acquisition module, a
staining normalization module, an instance segmentation module, an erythrocyte classification module, a
reticulocyte grading module and a statistical output module; the
image acquisition module: adopts an automatic
microscope platform to continuously scan blood smears under a 100-fold
field of view, collects high-quality bright field channel images through automatic focusing technology, and monitors image definition, contrast and illumination uniformity; the statistical output module: calculates the proportion of reticulocytes at all levels and blue-purple intensity statistics, and generates visual
quality control results and diagnosis reports; the application realizes full-
automatic processing from samples to reports, takes into account
interpretability and high classification accuracy, significantly reduces subjective differences and missed detection rates of manual
microscopy, and improves the efficiency and consistency of clinical detection.