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Simplifying the OpenFlexure microscope software with the web of things.

cam.issuedOnline2021-11-17
dc.contributor.authorCollins, Joel T
dc.contributor.authorKnapper, Joe
dc.contributor.authorMcDermott, Samuel
dc.contributor.authorAyazi, Filip
dc.contributor.authorBumke, Kaspar E
dc.contributor.authorStirling, Julian
dc.contributor.authorBowman, Richard W
dc.contributor.orcidCollins, Joel T [0000-0002-9382-7511]
dc.contributor.orcidKnapper, Joe [0000-0002-5519-1700]
dc.contributor.orcidMcDermott, Samuel [0000-0003-2736-5467]
dc.contributor.orcidAyazi, Filip [0000-0003-4521-9826]
dc.contributor.orcidBumke, Kaspar E [0000-0001-7603-0861]
dc.contributor.orcidStirling, Julian [0000-0002-8270-9237]
dc.contributor.orcidBowman, Richard W [0000-0002-1531-8199]
dc.date.accessioned2021-11-22T14:42:09Z
dc.date.available2021-11-22T14:42:09Z
dc.date.issued2021-11
dc.date.submitted2021-07-08
dc.date.updated2021-11-22T14:42:08Z
dc.description.abstractWe 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.
dc.identifier.doi10.17863/CAM.78296
dc.identifier.eissn2054-5703
dc.identifier.issn2054-5703
dc.identifier.otherrsos211158
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/330853
dc.languageen
dc.publisherThe Royal Society
dc.subjectEngineering
dc.subjectResearch articles
dc.subjectweb technologies
dc.subjecthardware/software interfaces
dc.subjectsystem architectures
dc.subjectintegration and modelling
dc.titleSimplifying the OpenFlexure microscope software with the web of things.
dc.typeArticle
dcterms.dateAccepted2021-10-28
prism.issueIdentifier11
prism.publicationNameR Soc Open Sci
prism.volume8
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/R011443/1)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/R013969/1)
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.versionVoR
rioxxterms.versionofrecord10.1098/rsos.211158

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