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