The first deep-learning software was developed as a versatile tool for tracking cells and extracting their signals from ~100 cells in a moving worm brain, in a zebrafish heart, and ~1,000 cultured cancer cells in 3D microscope videos. The method demonstrates significant improvements in tracking capabilities on various metrics including the possible number of tracked objects, robustness, and computing requirements.
Click here for original story, New AI-based versatile software for tracking many cells in 3D microscope videos
Source: Phys.org