Visualizing anatomically registered data with brainrender

eLife7.70
Volume: 10
Published: Mar 19, 2021
Abstract
Three-dimensional (3D) digital brain atlases and high-throughput brain-wide imaging techniques generate large multidimensional datasets that can be registered to a common reference frame. Generating insights from such datasets depends critically on visualization and interactive data exploration, but this a challenging task. Currently available software is dedicated to single atlases, model species or data types, and generating 3D renderings that...
Paper Details
Title
Visualizing anatomically registered data with brainrender
Published Date
Mar 19, 2021
Journal
Volume
10
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