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lines changed Original file line number Diff line number Diff line change 44format : jb-book
55root : README
66parts :
7+ - caption : Outline
8+ chapters :
9+ - file : outline.md
710 - caption : Notebooks
811 chapters :
912 - file : notebooks/Zarr_and_Dask_for_large-scale_imaging-Part-1.ipynb
Original file line number Diff line number Diff line change 1+ # Workshop outline
2+
3+ ### Setup (10 min)
4+ - Getting ready the environment to code in jupyter
5+
6+ ### Give overview of the workshop (20 min)
7+ - Challenges of scaling up deep learning inference
8+ - Parallelization approach taken in this workshop
9+
10+ ### Break (10 min)
11+
12+ ### Introduce image analysis with Dask (50 min)
13+ - Overview of image analysis and Dask for lazy loading
14+ - Image loading (using ` tifffile ` and ` zarr ` as backends) [ Guided exercise]
15+ - Image analysis examples [ Guided exercise]
16+ - Image analysis exercises [ Unguided exercise]
17+
18+ ### Break (10 min)
19+
20+ ### Implement an inference function (50 min)
21+ - Overview of the ` cellpose ` model for cell segmentation
22+ - Implement the inference function for ` cellpose ` [ Guided exercise]
23+ - Test implementation [ Unguided exercise]
24+
25+ ### Break (10 min)
26+
27+ ### Apply the inference to a large-scale image (50 min)
28+ - Overview of the parallelization approach using Dask
29+ - Test inference function in small-scale [ Unguided exercise]
30+ - Scale-up to the full image [ Guided exercise]
31+
32+ ### Break (10 min)
33+
34+ ### Conclusion (20 min)
35+ - Wrap-up and recap of the learning outcomes of the workshop
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