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66## Where to go from here
77
88- [ Scikit-image YouTube tutorials] ( https://www.youtube.com/playlist?list=PLBKcU7Ik-ir9Fi_hM_A6_U2UTpm7ACUtl )
9+ - [ Principles of Scientific Imaging] ( https://imagej.net/imaging/principles )
10+ - [ Data Handling and Management Training] ( https://carpentries-incubator.github.io/Data-Management-Training/ )
911- [ Introduction to Bioimage Analysis by Pete Bankhead] ( https://bioimagebook.github.io/index.html )
1012- [ Bio-image Analysis Notebooks by Robert Haase] ( https://haesleinhuepf.github.io/BioImageAnalysisNotebooks/intro.html )
1113- [ Introduction to artificial neural networks in Python] ( https://carpentries-incubator.github.io/machine-learning-neural-python/index.html )
1214- [ Building Better Research Software] ( https://carpentries-incubator.github.io/better-research-software/ )
13- - [ Data Handling and Management Training] ( https://carpentries-incubator.github.io/Data-Management-Training/ )
1415
1516## Where to find more help
1617
@@ -20,7 +21,10 @@ permalink: /reading/
2021
2122## Scientific Literature
2223
24+ - [ Digital Image Processing] ( https://www.imageprocessingplace.com ) , Textbook by Rafael C. Gonzalez and Richard E. Woods
2325- [ Checklist for publishing images and analyses ] ( https://www.nature.com/articles/s41592-023-01987-9 )
26+ - [ Studies on application of image processing in various fields: An
27+ overview] ( https://dx.doi.org/10.1088/1757-899X/961/1/012006 )
2428- [ REMBI: Recommended Metadata for Biological Images] ( https://www.nature.com/articles/s41592-021-01166-8 )
2529- [ "Twenty questions": a schema for a set of questions to guide analyses] ( https://www.nature.com/articles/s41592-023-01919-7 )
2630- [ 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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