Published July 4, 2023
| Version v1
Journal article
Open
Example FIB-SEM datasets for segmentation, spatial analysis, and visualization of volume electron microscopy datasets
Authors/Creators
- 1. Paul Langerhans Institute Dresden of the Helmholtz Center Munich at the University Hospital and Faculty of Medicine, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- 2. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA
- 3. Center for Molecular and Cellular Bioengineering, Technology Platform, Technische Universität Dresden, Dresden, Germang
- 4. Fondazione Human Technopole, Milano, Italy
- 5. Helmholtz Imaging, MDC, Berlin, Germany
- 6. EPFL, Switzerland
Description
This record contains demo FIB-SEM raw data and segmentation masks for the protocol paper:
Müller et al. A modular protocol for segmentation, spatial analysis, and visualization of volume electron microscopy datasets
It contains
- `high_c1_source.tif` raw FIB-SEM stack (16nm^3 resolution) of a mouse pancreatic cell
- `data_golgi` volumetric training data for golgi segmentation
- `data_granules` volumetric training data for secretory granule segmentation
- `high_c1` input folder with segmentation masks for cellsketch
- `mycell.n5` input folder for spatial analysis and visualization
Files
data_golgi.zip
Files
(9.0 GB)
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md5:3732cb4cfe4dea1626d2f3d28d613b7b
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md5:1905e1a609ba7a3daaaaf2090c6838cc
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md5:4e574070b8b3a3458830a7759d9cdbcc
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md5:b465b437b211aaeb4c7474f666bf5f56
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md5:436477f2edaaad1e6eda5ee8f891e460
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8.2 GB | Preview Download |