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BrightEyes-MCS

BrightEyes-MCS: a control software for multichannel scanning microscopy - Published in JOSS (2024)

https://github.com/vicidominilab/brighteyes-mcs

Science Score: 93.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README and JOSS metadata
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

BrightEyes Microscope Control Suite

Basic Info
  • Host: GitHub
  • Owner: VicidominiLab
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 6.84 MB
Statistics
  • Stars: 7
  • Watchers: 1
  • Forks: 2
  • Open Issues: 1
  • Releases: 3
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License

README.md

BrightEyes-MCS

BrightEyes-MCS, a Microscope Control Software for image-scanning microscopy designed by the Molecular Microscopy and Spectroscopy group of the Italian Institute of Technology.

For complete documentation, please visit our Wiki page.

docsvideobrighteyes-mcs.webm

Click on the video

Quick Start

To get started, refer to the detailed instructions and guidelines available on the Wiki.

Development Notice

Important: This software is currently under active development and may contain bugs or incomplete features. Please use it with caution and report any issues you encounter to help us improve the application.

For contribution guidelines, refer to the contributing.md.

License

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. This is free software, and you are welcome to redistribute it under certain conditions; this software code is licensed under the GNU General Public License version 3 (GPLv3), with the exception of certain parts where a different license is specified. Please refer to the individual source files for details on specific licensing exceptions. See LICENSE.md file for details.

Referencing BrightEyes-MCS

If this software is part of your research, please acknowledge it by citing:

  • BrightEyes-MCS: a control software for multichannel scanning microscopy. Donato et al., Journal of Open Source Software (2024), 9(103), 7125, doi: https://doi.org/10.21105/joss.07125

Owner

  • Name: Vicidomini Lab
  • Login: VicidominiLab
  • Kind: user
  • Location: Genova, Italy
  • Company: Istituto Italiano di Tecnologia

JOSS Publication

BrightEyes-MCS: a control software for multichannel scanning microscopy
Published
November 24, 2024
DOI
Volume 9, Issue 103, Page 7125
Authors
Mattia Donato ORCID
Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, 16152, Italy
Eli Slenders ORCID
Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, 16152, Italy
Alessandro Zunino ORCID
Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, 16152, Italy
Luca Bega
Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, 16152, Italy
Giuseppe Vicidomini ORCID
Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, 16152, Italy
Editor
Adam Tyson ORCID
Tags
imaging microscopy flim image scanning microscopy
View PDF Review Thread Software Archive

GitHub Events

Total
  • Release event: 2
  • Watch event: 4
  • Delete event: 4
  • Push event: 42
  • Pull request event: 1
  • Gollum event: 2
  • Fork event: 2
  • Create event: 7
Last Year
  • Release event: 2
  • Watch event: 4
  • Delete event: 4
  • Push event: 43
  • Pull request event: 2
  • Gollum event: 2
  • Fork event: 2
  • Create event: 7

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 153
  • Total Committers: 4
  • Avg Commits per committer: 38.25
  • Development Distribution Score (DDS): 0.405
Past Year
  • Commits: 97
  • Committers: 3
  • Avg Commits per committer: 32.333
  • Development Distribution Score (DDS): 0.423
Top Committers
Name Email Commits
Developer (STED) m****o@i****t 91
Vicidomini Lab g****i@i****t 42
Mattia D. m****6@g****m 15
Developer ISMFLUX e****s@i****t 5
Committer Domains (Top 20 + Academic)
iit.it: 3

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 3
  • Total pull requests: 21
  • Average time to close issues: 9 days
  • Average time to close pull requests: 1 minute
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 20
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 21
  • Average time to close issues: 9 days
  • Average time to close pull requests: 1 minute
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 20
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • raacampbell (2)
  • jacopoabramo (1)
Pull Request Authors
  • VicidominiLab (18)
  • mattia-donato (3)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • Cython *
  • PySide2 *
  • atomics *
  • h5py *
  • imageio *
  • importlib-metadata *
  • matplotlib *
  • napari *
  • nifpga *
  • nifpga-fast-fifo-recv >=0.100.1
  • numpy *
  • pyqtdarktheme *
  • pyqtgraph *
  • qtconsole *
  • scipy *
  • setuptools *
setup.py pypi