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iss_preprocessing's Introduction

ISS_processing is a Python package used to process In situ sequencinig data. This includes the preprocessing of the data, including alignment and stitching (using ASHLAR) and retiling.

Installation: You can download installation.sh and just execute it. It will install this repository( ISS_preprocessing) as well as ISS_decoding and ISS_postprocessing

iss_preprocessing's People

Contributors

christoffermattssonlangseth avatar sergiomarco25 avatar mgcizzu avatar hsaga avatar

Stargazers

 avatar John avatar

Forkers

mgcizzu

iss_preprocessing's Issues

The function leica_OME_tiff is doesn't work if images are not taken in 4+1 channels

The function leica_OME_tiff has a line which hard-codes the shape of the OME tiffs to 5 channels (4+DAPI), see below.

stacked = np.empty((5, 2048, 2048))

This makes it impossible to work with images acquired with more or fewer channels than the "Nilsson standard" way. I realised this while trying to work with 5+1 images.

We should come up with a flexible way to specify this (ie, a variable defaulted to 5 unless otherwise specified?)

the czi_to_stack function has a weird behavior

Christina brought this up, I think there's a problem with the loop through the m dimension of the czi files.
It's probably just sufficient to remove that loop and only loop for S.
Checking now (17 feb 23)

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