Closed K-Meech closed 8 months ago
Thank you for your pull request :smiley:
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:mag: Inspect the changes: https://github.com/HealthBioscienceIDEAS/microscopy-novice/compare/md-outputs..md-outputs-PR-31
The following changes were observed in the rendered markdown documents:
config.yaml (new) | 83 ++++
fig/2d-3d-arrays.png (new) | Bin 0 -> 55869 bytes
fig/3d-4d-arrays.png (new) | Bin 0 -> 121127 bytes
fig/brain-napari.png (new) | Bin 0 -> 76000 bytes
fig/cells-time-napari.png (new) | Bin 0 -> 192709 bytes
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fig/colorwheel-napari.png (new) | Bin 0 -> 175207 bytes
fig/introduction-rendered-pyramid-1.png (gone) | Bin 4841 -> 0 bytes
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fig/rgb-histogram.png (new) | Bin 0 -> 20570 bytes
fig/rgb-values.png (new) | Bin 0 -> 549116 bytes
fig/skin-napari.png (new) | Bin 0 -> 886959 bytes
fig/tyx-array.png (new) | Bin 0 -> 39871 bytes
md5sum.txt | 6 +-
multi-dimensional-images.md (new) | 634 +++++++++++++++++++++++++
15 files changed, 720 insertions(+), 3 deletions(-)
:stopwatch: Updated at 2023-12-20 12:11:13 +0000
Thanks for the comments @thompson318 ! I'll make sure to incorporate these into a new version of the episode. For the histogram part, this episode is after the 'image display' episode. This introduces napari-matplotlib + how to install and use it. I'll make sure to link directly to this episode rather than just saying 'last episode' to be clearer. For reference, the learning objectives and order of lessons for day 1 are here: https://github.com/HealthBioscienceIDEAS/microscopy-novice/issues/8#issuecomment-1792729467
@thompson318 @davecash75 - I've made a new version incorporating your suggestions. Could you take a look through and either approve it or suggest more changes?
I re-arranged the channels section quite a bit - so hopefully this gives more clarity on layers vs channels now. I added an extra diagram too and gave a few extra examples.
Closes https://github.com/HealthBioscienceIDEAS/microscopy-novice/issues/19
This adds a first draft of the multi-dimensional images episode. This aims to introduce how images with 2 or more dimensions are handled by Napari + an intro to RGB images
It's probably best to build this branch locally so you can see all the images + text together with the proper formatting.