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flika

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software/flika

An interactive image processing program for biologists written in Python.

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

flika project image
GitHub preview card for flika-org/flika. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
flika-org
Country
unknown
Documentation
unknown
Tags
astrocytes · biologists · calcium · fluorescence · image-processing · imagej · microscopy · neurons
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.

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

  • GutAnalysisToolboxmicroscopy · neurons

    Analysis and characterisation of cells within the gut wall using deep learning models. The current focus is on studying enteric neurons and enteric glia.

  • nelliefluorescence · image-processing · microscopy

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

  • TIFFAligncalcium

    A simple GUI for automatic and manual alignment across calcium imaging sessions.

  • EM/LM neuron search

  • FijiRelaximage-processing · imagej

    FijiRelax: 3D+t multi-echo spin-echo sequences MRI analysis

sources
  1. api.github.com/repos/flika-org/flika
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-04, 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 →

machine-readable

/v1/entries/14.json→ .entries["flika"]

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