Add further reading section

episodes/09-challenges.md

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 - These methods are useful for many scientific problems, especially those involving morphometrics.
 
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+
+
+:::::::::::::::::::::::::::::::::::::::: discussion
+
+## 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.
+
+::::::::::::::::::::::::::::::::::::::::::::::::::

learners/further-reading.md

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+---
+title: Further Reading
+permalink: /reading/
+---
+
+## 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)
+