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imaris_extensions

imported

software/imaris-extensions

Algorithmic and Utility Extensions for the Imaris Program

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

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
niaid
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bcbb · image-analysis · imaris · microscopy
Regulatory
unknown
built by · 3

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.

  • sitk-ibexbcbb · image-analysis · microscopy

    Aligning images acquired with the IBEX microscopy imaging technique

  • amfinderimage-analysis · microscopy

    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…

  • cellfinderimage-analysis · microscopy

    Automated 3D cell detection in very large images

  • ExTrackimage-analysis · microscopy

    ExTrack MLE for diffusive noisy single-particle tracks

  • frcimage-analysis · microscopy

    frc is a Python package for computing the Fourier Ring Correlation (FRC) of images using DIPlib

  • mcmicroimage-analysis · microscopy

    An end-to-end processing pipeline that transforms multi-channel whole-slide images into single-cell data.

sources
  1. api.github.com/repos/niaid/imaris_extensions
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-26, 21 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/5.json→ .entries["imaris-extensions"]

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