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Deep convolution neural network for semantic segmentation of 🧬3D biological data

Deep learning for pixelwise labeling of 3d biological data

Helices and beta sheets are characterized by cylindrical and planar shapes respectively

Cryo-Em allows us to see these structures at a variety of resolution

At medium resolution we can barely see the structure

After attempting multiple architectures, a custom 3d Unet provided the best results

Results

Simulted

Experimental

Authors

  • Devin Haslam - All programing and research