In order to convert and visualize UKB OCT data, it should not be tricky to install OCT Converter tool (https://github.com/marksgraham/OCT-Converter) in JupyterLab environment, do necessary OCT file format conversions (if needed) and then visualise images directly in JL either via Matplotlib or OpenCV.
OCT Converter supported file formats:
.fds (Topcon)
.fda (Topcon)
.e2e (Heidelberg)
.img (Zeiss)
.oct (Bioptigen)
.OCT (Optovue)
.dcm
For interactive visualisation running in browser, there is an example how to create an HTTPS Shiny web app:
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In order to convert and visualize UKB OCT data, it should not be tricky to install OCT Converter tool (https://github.com/marksgraham/OCT-Converter) in JupyterLab environment, do necessary OCT file format conversions (if needed) and then visualise images directly in JL either via Matplotlib or OpenCV.
OCT Converter supported file formats:
For interactive visualisation running in browser, there is an example how to create an HTTPS Shiny web app:
https://documentation.dnanexus.com/getting-started/developer-tutorials/web-app-let-tutorials/r-shiny-example-web-app#creating-the-web-application
I would be interested in seeing a similar example for running Python web app on UKB RAP. Maybe https://pyscript.net/?
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