In collaboration with the Ben-Gurion University in the Negev's Bio-Chemistry labs we are developing novel methods for analyzing flourescence microscopy images using machine learning methods.
We tackle issues where human annotation is very costly or highly subjective, such as:
- Detection: Looking for existance of biological structures or events
- Segmentation: Marking the image in regions where a biological structure appears
- Evolution: Tracking of structures through a microscopy imaging film, or cellular evolution stages