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[PRE REVIEW]: A MATLAB-based Instrument Control (MIC) package for fluorescence imaging #7121
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Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks. For a list of things I can do to help you, just type:
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Five most similar historical JOSS papers: ImSwitch: Generalizing microscope control in Python Madym: A C++ toolkit for quantitative DCE-MRI analysis MAHOS: Measurement Automation Handling and Orchestration System qMRLab: Quantitative MRI analysis, under one umbrella LiberTEM: Software platform for scalable multidimensional data processing in transmission electron microscopy |
@sajjad88, thanks for this submission. I am the AEiC on this track and here to help process the initial steps. Before we proceed, please can you have a look at the following points:
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@Kevin-Mattheus-Moerman thank you for helping in the initial steps. We have fixed the DOI issues, added documentation and contribution guidelines in main README.md. When changes are made to the matlab-instrument-class, continuous integration tests are performed on the abstract classes, which are further inherited by the other instruments classes but cannot be applied to any instance class unless the corresponding instrument is actually hooked up. There is no automatically generated code (e.g., .mlapp) included, such as code from MATLAB App Designer or other GUI creation tools. All of the MATLAB code, including any functions related to user interfaces or graphical components, has been manually written, ensuring that it reflects original contributions and not auto-generated templates or GUI elements. The 17,329 lines of MATLAB code in the report are entirely the result of manual development. With these changes we created a new release: matlab-instrument-control v0.1.1. |
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Five most similar historical JOSS papers: ImSwitch: Generalizing microscope control in Python Madym: A C++ toolkit for quantitative DCE-MRI analysis MAHOS: Measurement Automation Handling and Orchestration System qMRLab: Quantitative MRI analysis, under one umbrella LiberTEM: Software platform for scalable multidimensional data processing in transmission electron microscopy |
@adamltyson would you be able to help edit this one? It may be a tricky one in terms finding reviewers able to test the software that links to/needs particular hardware/instruments. |
Hi @Kevin-Mattheus-Moerman, yes happy to take this on. I'll see what I can do. |
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@bencardoen, @caldarolamartin, would you be able to review this submission to JOSS? If you haven't reviewed for JOSS before, we carry out our checklist-driven reviews here in GitHub issues following these guidelines. If you have any questions, let me know. |
@adamltyson yes, I'd be happy to |
Unfortunately I can't review this at this time.
Best,
Martin
Martin Caldarola
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@adamltyson <https://github.com/adamltyson> yes, I'd be happy to
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Thanks @bencardoen, and no problem at all @caldarolamartin. @raacampbell has agreed offline to review. |
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OK, I've started the review over in #7275. |
Submitting author: @sajjad88 (Sajjad Khan)
Repository: https://github.com/LidkeLab/matlab-instrument-control
Branch with paper.md (empty if default branch):
Version: v0.1.0
Editor: @adamltyson
Reviewers: @bencardoen, @raacampbell
Managing EiC: Kevin M. Moerman
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