Densely Populated Cell and Organelles Segmentation With Multi-Plane Deep Learning Pipeline.

Here we develop a robust machine vision pipeline for cell and organelle segmentation within vEM datasets. We collect neural network predictions along multiple planes, capturing 3D correlations using only 2D neural networks. We segment and analyze hundreds of platelets and report quantitative morphological measurements.