Automatic Acquisition of Immune Cells Location Using Deep Learning for Automated Analysis

Immune cells are analyzed for the elucidation of human immune system by researchers. They take a cells' movie and track manually to analyze. But manual process is hard them. The aim this study was reducing load theirs with automated picking up. To pick up cells, “Recognition Frequency Space” generated using classifier that made CNN method deep learning. trained while comparing several conditions decide best performance classifier. Recognition Space indicated number times recognized from frame image movie. Then, it checked if were picked high points space. As result, 9 first image. result indicates multiple can be automatically used space, reduce cell's analyst.