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The Catholic University of Leuven (KU Leuven) has a dedicated webpage on image integrity. They identified some of the most important sources and tools on the subject (available [https://www.kuleuven.be/english/research/integrity/practices/image-processing here], accessed on 24-04-2020). As their page is brief, a more elaborate description of what it contains, and additional sources, follows below.

Rossner & Yamada (2004)<ref name=":0">Mike Rossner, Kenneth M. Yamada;What's in a picture? The temptation of image manipulation . J Cell Biol 5 July 2004;166 (1): 11–15. doi: <nowiki>https://doi-org.vu-nl.idm.oclc.org/10.1083/jcb.200406019</nowiki></ref> wrote a prominent article arguing for a standard for image integrity. Working as Editors for The Journals of Cell Biology, they noticed the discrepancies between guidelines on image integrity journals gave to their authors (if any). To have a comprehensive overview, they developed their own guidelines for the Journal of Cell biology. They write that, for every aspect of the guideline, the main question is: “Is the image that results from this adjustment still an accurate representation of the original data?”<ref name=":0" /> (p. 5). Whenever the answer is ‘no’, researchers should provide a detailed description of the adjustments, its purpose and the original image on request. If not, their actions might be regarded as misconduct.

A step-by-step translation of the guideline is available on the website of American Journal Experts (access [https://www.aje.com/en/arc/avoiding-image-fraud-7-rules-editing-images/, here], accessed on 24-04-2020) and on the KU Leuven webpage. A similar guideline, and additional editorials on the subject, are given by the journal Nature on their editorial policies page (available [https://www.nature.com/nature-research/editorial-policies/image-integrity here], accessed on 24-04-2020).

The Center for Ethics and Values in the Sciences, of the University of Alabama in Birmingham, created a website for both students and researchers with much material regarding image integrity (available [https://ori.hhs.gov/education/products/RIandImages/default.html here], accessed on 24-04-2020). They provide guidelines with more in depth explanations and illustration videos, but also educational material such as case studies, discussion hand outs and a quiz.

The Office of Research Integrity provides a tutorial on how to use ‘action sets’ in photoshop (available [https://ori.hhs.gov/actions here], accessed on 24-04-2020). These actions sets allow you to document the changes you make to an image and ‘slide’ (i.e. going back and forward) between all the steps you made. The process of the image you manipulated will hereby be completely transparent if you provide the ‘action set’ combine with a copy of the original image.

For those reviewing papers, a free open source program, called InspectJ, is available on GitHub to identify cloning, stitching, patching and erased objects within an image. An advanced version also provides histogram equalization and gamma correction for improved image inspections (both available [https://github.com/ZMBH-Imaging-Facility/InspectJ here], accessed on 24-04-2020)
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