Visualizing anatomically registered data with brainrender

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 merge anatomically registered data from diverse sources requires extensive development and programming skills. Here, we present brainrender: an open-source Python package for interactive visualization of multidimensional datasets registered to brain atlases. Brainrender facilitates the creation of complex renderings with different data types in the same visualization and enables seamless use of different atlas sources. High-quality visualizations can be used interactively and exported as high-resolution figures and animated videos. By facilitating the visualization of anatomically registered data, brainrender should accelerate the analysis, interpretation, and dissemination of brain-wide multidimensional data.Read more…

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 merge anatomically registered data from diverse sources requires extensive development and programming skills. Here, we present brainrender: an open-source Python package for interactive visualization of multidimensional datasets registered to brain atlases. Brainrender facilitates the creation of complex renderings with different data types in the same visualization and enables seamless use of different atlas sources. High-quality visualizations can be used interactively and exported as high-resolution figures and animated videos. By facilitating the visualization of anatomically registered data, brainrender should accelerate the analysis, interpretation, and dissemination of brain-wide multidimensional data.Read more…


Type Path Last modified Size Actions
CC_134_1_ch1inj.obj 4 months, 3 weeks ago 3.3MiB
CC_134_2_ch1inj.obj 4 months, 3 weeks ago 3.0MiB
Dockerfile 4 months, 3 weeks ago 448.0B
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elife-65751.ipynb 4 months, 3 weeks ago 158.1KiB
elife-65751.ipynb.media 4 months, 3 weeks ago 1.9MiB
elife-65751.xml 4 months, 3 weeks ago 134.2KiB
elife-65751.xml.media 4 months, 3 weeks ago 1.9MiB
index.html 4 months, 3 weeks ago 346.7KiB
main.ipynb Main 4 months, 3 weeks ago 145.3KiB
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