single-layer-3D-TFM
importedsoftware/single-layer-3d-tfm
Repository for single-layer 3D TFM for measuring cellular displacements and tractions with epifluorescence microscopy
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/FranckLab/single-layer-3D-TFM
- Documentation
- unknown
- Tags
- epifluorescence · fenics · fluorescence-microscopy-imaging · matlab · microscopy · neutrophil · tfm · traction · traction-force-microscopy
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- leukoRightmicroscopy · neutrophil
A web app that uses a custom-built Keras model to recognize and classify white blood cells from microscopic images. It can distinguish between different types of WBCs and identify artifacts and…
- ColiCoordsfluorescence-microscopy-imaging · microscopy
Single-cell fluorescence microscopy data analysis
- 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.
- api.github.com/repos/FranckLab/single-layer-3D-TFMretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2023-11-17, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/3.json→ .entries["single-layer-3d-tfm"]
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