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A deep learning algorithm for 3D cell detection in whole mouse brain image datasets
[article]
2020
bioRxiv
pre-print
Understanding the function of the nervous system necessitates mapping the spatial distributions of its constituent cells defined by function, anatomy or gene expression. Recently, developments in tissue preparation and microscopy allow cellular populations to be imaged throughout the entire rodent brain. However, mapping these neurons manually is prone to bias and is often impractically time consuming. Here we present an open-source algorithm for fully automated 3D detection of neuronal somata
doi:10.1101/2020.10.21.348771
fatcat:pq4h3ftkzrcelaolxe5q4b7oxq