targettrack – Deep learning pipeline for segmenting and tracking moving and deforming brains
Download the Python-based app:
Reference: Park et al., biorxiv (2020)
YeaZ – A convolutional neural network for segmenting yeast cell images
YeaZ (pronounced: y-easy) is a system for efficiently and accurately segmenting microscopy images of yeast cells.
Download the Python-based app and neural network weights:
Download standalone apps (outdated neural network parameters):
- YeaZ standalone app for Windows 10 (compiled on 2020-07-17)
- YeaZ standalone app for Mac OS 10.15 (compiled on 2020-07-17)
Download the training sets:
- YeaZ segmented phase contrast images (10422 cells)
- YeaZ segmented bright-field images (23046 cells = 3841 cells x 6 exposure levels — must be updated)
Try it out without installation:
Reference: Dietler et al., Nature Communications (2020)
Send us your yeast images to include in the training set!