Updates for negative axis labels#125
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Rendered Changes🔍 Inspect the changes: https://github.com/HealthBioscienceIDEAS/microscopy-novice/compare/md-outputs..md-outputs-PR-125 The following changes were observed in the rendered markdown documents: What does this mean?If you have source files that require output and figures to be generated (e.g. R Markdown), then it is important to make sure the generated figures and output are reproducible. This output provides a way for you to inspect the output in a diff-friendly manner so that it's easy to see the changes that occur due to new software versions or randomisation. ⏱️ Updated at 2026-06-05 12:47:16 +0000 |
stellaprins
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Description looks good to me.
There's still a bunch of screenshots (e.g. episodes\fig\instance-seg-napari.png) that have an index label of 0 instead of what now would be -3.
I would be surprised though if this would confuse anyone? Especially as the emphasis is not so much on the dimensions there.
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Thanks @stellaprins ! Yes I agree - I only updated the screenshots on episodes where we directly refer to the dimensions / channel axes etc. I figured it wasn't worth updating all the other screenshots for now, as it would take a long time and, as you said, it's unlikely to cause confusion. |
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Sounds sensible to me. For a future iteration / new material, we could consider adding pictures of the layers rather than screenshots including the napari GUI where appropriate to avoid things getting out of date. |
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Source : fb60446
Branch : md-outputs
Author : GitHub Actions <actions@github.com>
Time : 2026-06-08 11:54:26 +0000
Message : markdown source builds
Auto-generated via `{sandpaper}`
Source : 70164e5
Branch : main
Author : Kimberly Meechan <24316371+K-Meech@users.noreply.github.com>
Time : 2026-06-08 11:52:18 +0000
Message : Merge pull request #125 from HealthBioscienceIDEAS/km/axis-labels
Updates for negative axis labels
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Closes #106
In #106, we'd noted that there were sometimes issues with the axis labels when displaying images with different numbers of dimensions. Looking at the release notes for napari 0.7.0 it seems these issues should have been fixed by their move to using negative axis labels.
To match these new changes, I've updated affected parts of the multi-dimensional images episode including:
Even though napari now uses negative indexes thoughout its UI, I thought it was still important to explain positive indexes too (as this is what they will encounter most often using python / numpy etc directly)