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FPbase

imported

software/fpbase

The Fluorescent Protein Database

Machine-generated from the listed sources and not yet reviewed by a human.

FPbase project image
GitHub preview card for tlambert03/FPbase. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
database · fluorescence · microscopy
Regulatory
unknown
built by · 6

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • cytoselffluorescence · microscopy

    Self-supervised models for encoding protein localization patterns from microscopy images

  • flikafluorescence · microscopy

    An interactive image processing program for biologists written in Python.

  • FLIMngofluorescence · microscopy

    Deep learning for fluorescence lifetime predictions

  • HILIGTHer_FLIM_DigitalTwinfluorescence · microscopy

    FLIM Digital Twin

  • nelliefluorescence · microscopy

    Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy

  • ptbp1-imagej-analysisfluorescence · microscopy

    Automated ImageJ/Fiji and Python pipeline for quantifying PTBP1 and RRM2 domain subcellular localization from fluorescence microscopy images in heterokaryon assays.

sources
  1. api.github.com/repos/tlambert03/FPbase
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 82 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 →

machine-readable

/v1/entries/54.json→ .entries["fpbase"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.