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Marco Dalla Vecchia
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updated resources to remove old ones and added a few more recent useful resources
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learners/further-reading.md

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## Where to go from here
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- [EMBL Bio-IT Python Workshop - Image Processing](https://git.embl.org/grp-bio-it-workshops/python-workshop-image-processing)
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- [Introduction to Programming in the Biological Sciences Bootcamp Caltech](https://justinbois.github.io/bootcamp/2021/index.html)
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- [Intro to Image Processing with scikit-image](https://justinbois.github.io/bootcamp/2023/lessons/l44_intro_to_image_processing.html)
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- [Basic image quantification](https://justinbois.github.io/bootcamp/2023/lessons/l45_segmentation.html)
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- [Intermediate Python Course EMBL Numpy section](https://grp-bio-it-workshops.embl-community.io/intermediate-python/02-data/index.html)
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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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- [IAFIG-RMS Python for Bioimage Analysis Course repository](https://github.com/RMS-DAIM/Python-for-Bioimage-Analysis)
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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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- [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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