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I'm creating 3D tours of open single cell RNA-seq data in UMAP space. Here, using data from 50k brain cells by the allen institute . ( The UMAP position and class of every cell is read into Blender, realized as a stylized, class-specific model I sculpted
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Relevant to the dataset used to produce this video are the following papers from researchers at the @AllenInstitute : I did not contribute to the original seq data, and I am grateful to the researchers for making it open

After projecting the RNA-seq data from the Allen Brain Map into 3D UMAP space using Seurat, reading the UMAP data into Blender was achieved using a csv importer add-on from @smonbrogg

Rendering all of the 3D models without overfilling GPU memory was possible using LOD and camera culling nodes from @erindale_xyz in the Erindale Toolkit- Advanced Geometry Nodes Groups.

Thanks to @CgFigures for a great tutorial on importing csv data into geometry nodes in Blender

@AllenInstitute Amazing work!!

@AllenInstitute Thanks so much!

@AllenInstitute Wow, what an incredible endeavor! Thanks for sharing!

@AllenInstitute Also I really like the shaders and how you made the nucleus glow

@AllenInstitute This is next level 🤯

@AllenInstitute Astonishing work

