High-throughput quantification
Nature Communications paper “Deep learning for high-throughput quantification of oligodendrocyte ensheathment at single-cell resolution” by a team at McGill university describes how they established a high-throughput method to assess oligodendrocyte ensheathment in-vitro, combining nanofiber culture devices and automated imaging with a heuristic approach that informed the development of a deep learning analytic algorithm.This is important because… Read more »