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...

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Autores principales: Joel T. Collins, Joe Knapper, Samuel J. McDermott, Filip Ayazi, Kaspar E. Bumke, Julian Stirling, Richard W. Bowman
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Lenguaje:EN
Publicado: The Royal Society 2021
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Acceso en línea:https://doaj.org/article/dfacc8c4dfa147d3b8d27bf5420c98b4
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spelling oai:doaj.org-article:dfacc8c4dfa147d3b8d27bf5420c98b42021-11-17T08:05:51ZSimplifying the OpenFlexure microscope software with the web of things10.1098/rsos.2111582054-5703https://doaj.org/article/dfacc8c4dfa147d3b8d27bf5420c98b42021-11-01T00:00:00Zhttps://royalsocietypublishing.org/doi/10.1098/rsos.211158https://doaj.org/toc/2054-5703We 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.Joel T. CollinsJoe KnapperSamuel J. McDermottFilip AyaziKaspar E. BumkeJulian StirlingRichard W. BowmanThe Royal Societyarticleweb technologieshardware/software interfacessystem architecturesintegration and modellingScienceQENRoyal Society Open Science, Vol 8, Iss 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic web technologies
hardware/software interfaces
system architectures
integration and modelling
Science
Q
spellingShingle web technologies
hardware/software interfaces
system architectures
integration and modelling
Science
Q
Joel T. Collins
Joe Knapper
Samuel J. McDermott
Filip Ayazi
Kaspar E. Bumke
Julian Stirling
Richard W. Bowman
Simplifying the OpenFlexure microscope software with the web of things
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 article
author Joel T. Collins
Joe Knapper
Samuel J. McDermott
Filip Ayazi
Kaspar E. Bumke
Julian Stirling
Richard W. Bowman
author_facet Joel T. Collins
Joe Knapper
Samuel J. McDermott
Filip Ayazi
Kaspar E. Bumke
Julian Stirling
Richard W. Bowman
author_sort Joel T. Collins
title Simplifying the OpenFlexure microscope software with the web of things
title_short 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_sort simplifying the openflexure microscope software with the web of things
publisher The Royal Society
publishDate 2021
url https://doaj.org/article/dfacc8c4dfa147d3b8d27bf5420c98b4
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