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Automatic identification of RNCM position for TMA cores #12

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ngreenwald opened this issue Sep 8, 2023 · 1 comment · May be fixed by #20
Open

Automatic identification of RNCM position for TMA cores #12

ngreenwald opened this issue Sep 8, 2023 · 1 comment · May be fixed by #20
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@srivarra @alex-l-kong
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enhancement New feature or request

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@ngreenwald
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Is your feature request related to a problem? Please describe.
The current pipeline extracts whole TIFF images for each peak. For TMAs, however, the entire TMA is extracted at once. In order to FOV-level statistics, each core needs to be identified from the single extracted tif.

Describe the solution you'd like
A tool to automatically identify and crop out each TMA core in a given image. These coordinates can then be reused across all of the channels from a given TMA to produce FOV-specific crops.

One possibility would be looking into using Albert's TMA tiling tool to accomplish this. Another option would be building something ourselves to identify the RNCM postions.

Following this step, we'd need to actually crop out each FOV. This would likely be fairly straightforward with some thresholding/image processing, as the image that gets produced has tons of contrast:
image
@ngreenwald ngreenwald added the enhancement New feature or request label Sep 8, 2023
@ngreenwald
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Based on the email chain, it sounds like we won't get additional information from Gray right away. In the meantime, Peggi suggested we look into the SDK:

Bruker has software development kits that we can use to extract the spatial data without the processing done by SCiLS. This is in the bruker library, search timstofsdk, raw access & api, and grab the ts-sdk which is the toolkit for the spatial library.

We should take a look. It's possible that this contains the exact coordinates of each ROI. If we can export this, we wouldn't need to do any image processing to generate the masks

@alex-l-kong alex-l-kong mentioned this issue Oct 24, 2023
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@alex-l-kong alex-l-kong linked a pull request Nov 16, 2023 that will close this issue
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Utilize TSAI tiler to crop out FOVs angelolab/maldi-tools
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@srivarra @ngreenwald @alex-l-kong