Published May 9, 2022
| Supplemental Material
Journal Article
Open
CAD we share? Publishing reproducible microscope hardware
Abstract
Here we discuss barriers to reproducibility in regard to microscopes and related hardware, along with best practices for sharing novel designs created using computer-aided design (CAD). We hope to start a fruitful community discussion on how instrument development, especially in microscopy, can become more open and reproducible, ultimately leading to better, more trustworthy science.
Additional Information
© 2022 Nature Publishing Group. Published: 04 May 2022. The authors thank for comments Pete Dahlberg, Davis Perez, Jim Haseloff, Kay Oliver Schink and Scott E. Fraser. M.C.M. acknowledges a Marie Skłodowska-Curie fellowship (MSCA-IF-EF-ST grant agreement no. 842893). N.V. is supported by URPP Adaptive Brain Circuits in Development and Learning (AdaBD). R.W.B. and J.S. acknowledge financial support from the Royal Society (URF\R1\180153, RGF\EA\181034) and EPSRC (EP/R013969/1, EP/R011443/1). Data availability: Data presented in Fig. 2 are available as Source Data and at the GitHub repository https://github.com/HohlbeinLab/OpenMicroscopy (https://doi.org/10.5281/zenodo.6406820). Source data are provided with this paper. Contributions: All authors contributed equally. The authors declare no competing interests. Peer review information: Nature Methods thanks Alfred Millett-Sikking and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.Attached Files
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Additional details
- Eprint ID
- 114653
- Resolver ID
- CaltechAUTHORS:20220509-118869200
- 842893
- Marie Curie Fellowship
- University of Zürich
- URF\R1\180153
- Royal Society
- RGF\EA\181034
- Royal Society
- EP/R013969/1
- Engineering and Physical Sciences Research Council (EPSRC)
- EP/R011443/1
- Engineering and Physical Sciences Research Council (EPSRC)
- Created
-
2022-05-09Created from EPrint's datestamp field
- Updated
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2022-05-09Created from EPrint's last_modified field