A High Throughput Platform for Exploring and Analyzing Whole Brain Tissue Cleared Images
With ~100 million nuclei, no human can count all the cells in a mouse brain.
We need to train an image recognition algorithm to recognize what a nucleus looks like.
This requires many manually labeled nuclear samples, so we’re developing a tool to make this easier to do.
This tool will allow us to easily quantify differences in brain structure caused by mutations associated with neuropsychiatric disorders.
Video credit: Tala Farah