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9 changes: 9 additions & 0 deletions episodes/09-challenges.md
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Expand Up @@ -246,3 +246,12 @@ def count_colonies_enhanced(image_filename, sigma=1.0, min_colony_size=10, conne
- These methods are useful for many scientific problems, especially those involving morphometrics.

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## Where to go from here?

Take a look at our [curated list of resources](further-reading.md) for further publicly available courses, resources and scientific literature around image processing and more.

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title: Further Reading
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## Where to go from here

- [Scikit-image YouTube tutorials](https://www.youtube.com/playlist?list=PLBKcU7Ik-ir9Fi_hM_A6_U2UTpm7ACUtl)
- [Introduction to Bioimage Analysis by Pete Bankhead](https://bioimagebook.github.io/index.html)
- [Bio-image Analysis Notebooks by Robert Haase](https://haesleinhuepf.github.io/BioImageAnalysisNotebooks/intro.html)
- [Introduction to artificial neural networks in Python](https://carpentries-incubator.github.io/machine-learning-neural-python/index.html)
- [Building Better Research Software](https://carpentries-incubator.github.io/better-research-software/)
- [Data Handling and Management Training](https://carpentries-incubator.github.io/Data-Management-Training/)

## Where to find more help

- [Image.sc Forum](https://image.sc/)
- [NFDI4BioImage Training Materials collection](https://nfdi4bioimage.github.io/training/readme.html)

## Scientific Literature

- [Checklist for publishing images and analyses ](https://www.nature.com/articles/s41592-023-01987-9)
- [REMBI: Recommended Metadata for Biological Images](https://www.nature.com/articles/s41592-021-01166-8)
- ["Twenty questions": a schema for a set of questions to guide analyses](https://www.nature.com/articles/s41592-023-01919-7)
- ["From cells to pixels: A decision tree for designing bioimage analysis pipelines"](https://onlinelibrary.wiley.com/doi/10.1111/jmi.70021)