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nd2reader

imported

software/nd2reader

Pure Python library for reading NIS Elements ND2 images and metadata

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
Open-Science-Tools
Country
unknown
Homepage
open-science-tools.github.io/nd2reader/
Repository
github.com/Open-Science-Tools/nd2reader
Documentation
unknown
Tags
microscopy · microscopy-images · nd2 · nikon · nis-elements · pims
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.

  • nd2microscopy · nd2 · nikon · nis-elements

    Full-featured nd2 (Nikon NIS Elements) file reader for python. Outputs to numpy, dask, and xarray. Exhaustive metadata extraction

  • nis2pyrmicroscopy · nd2 · nikon · nis-elements

    Python utility and library for converting Nikon .nd2 files to pyramidal OME TIFF.

  • openvpmpims

    Free, open-source, API-first veterinary practice management system (PIMS) — self-hostable, with a built-in AI agent and a real REST API.

  • EM-toolmicroscopy · microscopy-images

    an ImageJ toolset for EM image analysis

  • webknossosmicroscopy · microscopy-images

    Visualize, share and annotate your large 3D images online

  • multifocal-stitchingmicroscopy · microscopy-images

    Python package for microscope image stitching, robust to image pairs taken at different focal lengths and translations

sources
  1. api.github.com/repos/Open-Science-Tools/nd2reader
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-01-15, 49 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/8.json→ .entries["nd2reader"]

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