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Sparse-SIM

imported

software/sparse-sim

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

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

record
Category
Software & Systems
Subcategory
unknown
License
ODbL-1.0(open-data)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
weisongzhao.github.io/Sparse-SIM/
Repository
github.com/WeisongZhao/Sparse-SIM
Documentation
unknown
Tags
deconvolution · fluorescence-microscopy-imaging · image-processing · image-restoration · matlab-gui · microscopy · super-resolution
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.

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    Official Python implementation of the 'Sparse deconvolution'-v0.3.0

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

  • DeconvOptim.jldeconvolution · image-processing · microscopy

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

  • frcimage-processing · microscopy · super-resolution

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

  • PsPMmatlab-gui

    Precision psychophysiology made easy

  • ColiCoordsfluorescence-microscopy-imaging · microscopy

    Single-cell fluorescence microscopy data analysis

sources
  1. api.github.com/repos/WeisongZhao/Sparse-SIM
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-01-07, 101 stars, license reported as ODbL-1.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/63.json→ .entries["sparse-sim"]

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