In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby generating masks suitable for quantitative analysis. Robust segmentation is foundational to downstream quantification, including morphological characterization, spatial distribution analysis, temporal trajectory tracking, and the detection of key biological events.
Mapping the evolution of AI in organelle segmentation
- Post author:admin
- Post published:March 10, 2026
- Post category:uncategorized