LOBSTER
importedsoftware/lobster
Little OBjects Segmentation and Tracking EnviRonment
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/SebastienTs/LOBSTER
- Documentation
- unknown
- Tags
- biology · image-analysis · image-processing · matlab · microscopy · microscopy-images
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- nelliebiology · image-analysis · image-processing · microscopy
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
- CellLocatorimage-analysis · microscopy · microscopy-images
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.
- frcimage-analysis · image-processing · microscopy
frc is a Python package for computing the Fourier Ring Correlation (FRC) of images using DIPlib
- mcmicroimage-analysis · image-processing · microscopy
An end-to-end processing pipeline that transforms multi-channel whole-slide images into single-cell data.
- OADimage-analysis · image-processing · microscopy
Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.
- PSF_XYZ_Bead_Fitimage-analysis · image-processing · microscopy
Automatic detection of beads for PSF measurement from Z-Stacks using python-bioformats.
- api.github.com/repos/SebastienTs/LOBSTERretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-09-12, 8 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/46.json→ .entries["lobster"]
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