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09-challenges.md

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- These methods are useful for many scientific problems, especially those involving morphometrics.
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:::::::::::::::::::::::::::::::::::::::: discussion
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## Where to go from here?
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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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further-reading.md

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---
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title: Further Reading
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permalink: /reading/
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---
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## Where to go from here
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- [Scikit-image YouTube tutorials](https://www.youtube.com/playlist?list=PLBKcU7Ik-ir9Fi_hM_A6_U2UTpm7ACUtl)
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- [Introduction to Bioimage Analysis by Pete Bankhead](https://bioimagebook.github.io/index.html)
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- [Bio-image Analysis Notebooks by Robert Haase](https://haesleinhuepf.github.io/BioImageAnalysisNotebooks/intro.html)
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- [Introduction to artificial neural networks in Python](https://carpentries-incubator.github.io/machine-learning-neural-python/index.html)
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- [Building Better Research Software](https://carpentries-incubator.github.io/better-research-software/)
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- [Data Handling and Management Training](https://carpentries-incubator.github.io/Data-Management-Training/)
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## Where to find more help
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- [Image.sc Forum](https://image.sc/)
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- [NFDI4BioImage Training Materials collection](https://nfdi4bioimage.github.io/training/readme.html)
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## Scientific Literature
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- [Checklist for publishing images and analyses ](https://www.nature.com/articles/s41592-023-01987-9)
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- [REMBI: Recommended Metadata for Biological Images](https://www.nature.com/articles/s41592-021-01166-8)
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- ["Twenty questions": a schema for a set of questions to guide analyses](https://www.nature.com/articles/s41592-023-01919-7)
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- ["From cells to pixels: A decision tree for designing bioimage analysis pipelines"](https://onlinelibrary.wiley.com/doi/10.1111/jmi.70021)
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md5sum.txt

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"learners/further-reading.md" "aeea4e06d3d44d0e26fe52781548de83" "site/built/further-reading.md" "2025-12-05"
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