Replies: 3 comments 2 replies
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Hi @Thart92, thanks for the issue! @weiglszonja just started working on a To be honest, creating a new interface takes some time, so if you need this on a tighter schedule I would recommend working through this tutorial on writing data in PyNWB. @weiglszonja, would you be able to coordinate with @Thart92, either to build the |
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The example code you pointed to is designed for datasets where all of the imaging data is in a single TIFF file, so I don't think it would be appropriate for your use-case. |
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Hey @Thart92, I'd be happy to help you with your dataset. I'll have to adjust the |
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Hi, I'm trying to format my data for upload to NWB so that I can archive it on DANDI, but I'm finding myself a bit confused as to the best way to do this. DANDI recommends using NeuroConv to generate NWB files. However, I'm not very much of a python programmer, have not used NWB before, and find the documentation on NeuroConv unintuitive for my dataset (https://neuroconv.readthedocs.io/en/main/conversion_examples_gallery/imaging/tiff.html). For my own data processing and analysis I use ImageJ/Fiji.
My data are volumetric calcium imaging recordings (Bruker two-photon microscope) output from PrairieView software. Each imaging trial is stored as a folder containing 1320 2D TIFF files, corresponding to 33 z-planes and 40 frames per z-plane. There is also an XML file in the folder storing metadata about the trial overall and specifying the order/timing/z-position of each TIFF file within the overall trial.
Can someone please point me in the right direction for better understanding the conversion process for this sort of data, or otherwise getting started?
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