openmedical/registry
← registry

DeconvolutionLab2

imported

software/deconvolutionlab2

Java (ImageJ/Fiji) software package for 3D deconvolution microscopy

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

DeconvolutionLab2 project image
GitHub preview card for Biomedical-Imaging-Group/DeconvolutionLab2. 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
dormant
Maturity
deployed
Organization
Biomedical-Imaging-Group
Country
unknown
Documentation
unknown
Tags
3d · algorithms · deconvolution · images-plugins · microscopy
Regulatory
unknown
built by · 1

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.

  • Autofocus-URJCalgorithms · microscopy

    This is an open source project to develop an automated embedded focusing system

  • DeconvOptim.jldeconvolution · microscopy

    A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

  • momomagickdeconvolution · microscopy

    Python toolkit for 2D/3D image processing using CPU or GPU

  • PureLetDeconvdeconvolution · microscopy

    PURE-LET image deconvolution

  • SACDdeconvolution · microscopy

    Source code of SACD(Super-resolution with Auto-Correlation two-step Deconvolution)

  • Sparse-SIMdeconvolution · microscopy

    Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3

sources
  1. api.github.com/repos/Biomedical-Imaging-Group/DeconvolutionLab2
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2019-03-09, 69 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/43.json→ .entries["deconvolutionlab2"]

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