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Simplifying the OpenFlexure microscope software with the web of things
We present the OpenFlexure Microscope software stack which provides computer control of our open source motorised microscope. Our diverse community of users needs both graphical and script-based interfaces. We split the control code into client and server applications interfaced via a web API confor...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595986/ https://www.ncbi.nlm.nih.gov/pubmed/34804575 http://dx.doi.org/10.1098/rsos.211158 |
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author | Collins, Joel T. Knapper, Joe McDermott, Samuel J. Ayazi, Filip Bumke, Kaspar E. Stirling, Julian Bowman, Richard W. |
author_facet | Collins, Joel T. Knapper, Joe McDermott, Samuel J. Ayazi, Filip Bumke, Kaspar E. Stirling, Julian Bowman, Richard W. |
author_sort | Collins, Joel T. |
collection | PubMed |
description | We present the OpenFlexure Microscope software stack which provides computer control of our open source motorised microscope. Our diverse community of users needs both graphical and script-based interfaces. We split the control code into client and server applications interfaced via a web API conforming to the W3C Web of Things standard. A graphical interface is viewed either in a web browser or in our cross-platform Electron application, and gives basic interactive control including common operations such as Z stack acquisition and tiled scanning. Automated control is possible from Python and Matlab, or any language that supports HTTP requests. Network control makes the software stack more robust, allows multiple microscopes to be controlled by one computer, and facilitates sharing of equipment. Graphical and script-based clients can run simultaneously, making it easier to monitor ongoing experiments. We have included an extension mechanism to add functionality, for example controlling additional hardware components or adding automation routines. Using a Web of Things approach has resulted in a user-friendly and extremely versatile software control solution for the OpenFlexure Microscope, and we believe this approach could be generalized in the future to make automated experiments involving several instruments much easier to implement. |
format | Online Article Text |
id | pubmed-8595986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-85959862021-11-19 Simplifying the OpenFlexure microscope software with the web of things Collins, Joel T. Knapper, Joe McDermott, Samuel J. Ayazi, Filip Bumke, Kaspar E. Stirling, Julian Bowman, Richard W. R Soc Open Sci Engineering We present the OpenFlexure Microscope software stack which provides computer control of our open source motorised microscope. Our diverse community of users needs both graphical and script-based interfaces. We split the control code into client and server applications interfaced via a web API conforming to the W3C Web of Things standard. A graphical interface is viewed either in a web browser or in our cross-platform Electron application, and gives basic interactive control including common operations such as Z stack acquisition and tiled scanning. Automated control is possible from Python and Matlab, or any language that supports HTTP requests. Network control makes the software stack more robust, allows multiple microscopes to be controlled by one computer, and facilitates sharing of equipment. Graphical and script-based clients can run simultaneously, making it easier to monitor ongoing experiments. We have included an extension mechanism to add functionality, for example controlling additional hardware components or adding automation routines. Using a Web of Things approach has resulted in a user-friendly and extremely versatile software control solution for the OpenFlexure Microscope, and we believe this approach could be generalized in the future to make automated experiments involving several instruments much easier to implement. The Royal Society 2021-11-17 /pmc/articles/PMC8595986/ /pubmed/34804575 http://dx.doi.org/10.1098/rsos.211158 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Engineering Collins, Joel T. Knapper, Joe McDermott, Samuel J. Ayazi, Filip Bumke, Kaspar E. Stirling, Julian Bowman, Richard W. Simplifying the OpenFlexure microscope software with the web of things |
title | Simplifying the OpenFlexure microscope software with the web of things |
title_full | Simplifying the OpenFlexure microscope software with the web of things |
title_fullStr | Simplifying the OpenFlexure microscope software with the web of things |
title_full_unstemmed | Simplifying the OpenFlexure microscope software with the web of things |
title_short | Simplifying the OpenFlexure microscope software with the web of things |
title_sort | simplifying the openflexure microscope software with the web of things |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595986/ https://www.ncbi.nlm.nih.gov/pubmed/34804575 http://dx.doi.org/10.1098/rsos.211158 |
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