amfinder
importedsoftware/amfinder
The Automatic Mycorrhiza Finder (AMFinder) allows for automatic computer vision-based identification and quantification of AM fungal colonisation and intraradical hyphal structures on ink-stained…
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
- unknown
- Repository
- github.com/SchornacklabSLCU/amfinder
- Documentation
- unknown
- Tags
- deep-learning · gtk2 · image-analysis · keras · microscopy · mycorrhiza · neural-networks · ocaml
- 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.
- CakeCellimage-analysis · microscopy
Segmenting cells (and other objects!) in microscopy images via neural networks.
- ceceliaimage-analysis · microscopy
Cecelia Feijoa
- cellfinderimage-analysis · microscopy
Automated 3D cell detection in very large images
- CellLocatorimage-analysis · microscopy
CellLocator: Automated live-cell image analysis for Incucyte®. Streamlined cell segmentation, fluorescence quantification, and kinetic analysis. Open-source and freely available under the MIT License.
- Enhancing-Reproducibilityimage-analysis · microscopy
Companion notebooks for our paper on reproducible statistics in bioimage analysis — runs in-browser via Binder
- ExTrackimage-analysis · microscopy
ExTrack MLE for diffusive noisy single-particle tracks
- api.github.com/repos/SchornacklabSLCU/amfinderretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-11-03, 27 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/39.json→ .entries["amfinder"]
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