scDINO
importeddata/scdino
Self-Supervised Vision Transformers for multiplexed imaging datasets
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/JacobHanimann/scDINO
- Documentation
- unknown
- Tags
- fluorescence-microscopy-imaging · greyscale-image · high-content-screening · morphology · multi-channel · multi-head-attention · phenotyping · self-supervised-learning
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ColiCoordsfluorescence-microscopy-imaging
Single-cell fluorescence microscopy data analysis
- neuroclearfluorescence-microscopy-imaging
Neuroclear is a deep-learning-based Python module to train a deep neural network for the task of applying super-resolution to degraded axial resolution in fluorescence microscopy, using a single…
- pathmlfluorescence-microscopy-imaging
Tools for computational pathology
- sparse-deconv-pyfluorescence-microscopy-imaging
Official Python implementation of the 'Sparse deconvolution'-v0.3.0
- Sparse-SIMfluorescence-microscopy-imaging
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
- ZetaStitcherfluorescence-microscopy-imaging
ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
- api.github.com/repos/JacobHanimann/scDINOretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-04-23, 67 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/51.json→ .entries["scdino"]
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