ColiCoords
importedsoftware/colicoords
Single-cell fluorescence microscopy data analysis
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- colicoords.readthedocs.io/
- Repository
- github.com/Jhsmit/ColiCoords
- Documentation
- unknown
- Tags
- fluorescence-microscopy-imaging · microscopy
- 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.
- neuroclearfluorescence-microscopy-imaging · microscopy
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…
- sparse-deconv-pyfluorescence-microscopy-imaging · microscopy
Official Python implementation of the 'Sparse deconvolution'-v0.3.0
- Sparse-SIMfluorescence-microscopy-imaging · microscopy
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
- ZetaStitcherfluorescence-microscopy-imaging · microscopy
ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
- pathmlfluorescence-microscopy-imaging
Tools for computational pathology
- scDINOfluorescence-microscopy-imaging
Self-Supervised Vision Transformers for multiplexed imaging datasets
- api.github.com/repos/Jhsmit/ColiCoordsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-07-22, 26 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/30.json→ .entries["colicoords"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.