deepspot-m
Generates transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Used for predicted log1p-CPM expression from 224x224 tiles at about 20x, querying the released protein-coding gene panel by symbol, and whole-slide prediction after resolution-aware tiling with histolab.
- Version
- 1.2
- License
- PolyForm-Noncommercial-1.0.0
- Compatibility
- Requires deepspotm 1.0.0, Python >=3.10 and PyTorch; network and approved Hugging Face access for initial gated weight download. CPU supported; CUDA optional. Optional histolab 0.7.0 tiling requires a separate Python 3.10/3.11 environment and OpenSlide. AnnData is needed for H5AD export.
Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
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Files
- skills/deepspot-m/SKILL.md
- skills/deepspot-m/SKILL_CN.md
- skills/deepspot-m/references/api.md
- skills/deepspot-m/references/whole_slide.md
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