ZEISS on Your Campus (ZOYC) Online provides educational and special topic webinars to raise awareness of new and emerging trends in microscopy.
In this presentation, best practices and ethics associated with the handling of digital images will be discussed. Image handling ethics is a key topic that should interest anyone publishing images as part of their research efforts.
Please join us for this special presentation of ZEISS On Your Campus (ZOYC) Online.
Douglas W. Cromey, M.S. - Associate Scientific Investigator
Dept. of Cellular & Molecular Medicine, University of Arizona
Mr. Cromey has 40 years of hands-on microscopy experience. He received his BA and MS in Biology from Trinity University in San Antonio TX. He has worked at the University of Arizona Health Sciences Center for 38 years, starting in the Dept. of Pathology doing both research and clinical electron microscopy. In 1994 he became the manager of the NIEHS-funded Southwest Environmental Health Sciences Center’s Cellular Imaging Facility Core. In addition, he currently manages microscopy core facilities for the UA Office of Research, Innovation & Impact, as well as the NCI-funded UA Cancer Center. He has extensive experience in light and confocal microscopy, as well as image analysis. He also serves as the developer/site administrator for the UA Microscopy Alliance website. In addition to publishing on the topic of scientific digital image ethics, Mr. Cromey has coordinated and co-taught an annual half-day campus workshop (Introduction to Scientific Digital Images) since 2007.
Digital images are scientific data, with many of the same strengths and weaknesses as other types of instrument-acquired information. Unfortunately, scientists rarely receive formal training in how to appropriately work with image data. This can lead to image processing mistakes or the use of unscientific folklore which has been handed down as knowledge. As problematic as these kinds of errors may be for science, it is when the line is crossed from “honest error” to fraud that is of major concern for the entire scientific community. Scientific misconduct (fraud) erodes the trust that we have in our colleagues and the published literature. One does not have to look far (Retraction Watch, PubPeer, Twitter, etc) to find examples of inappropriately manipulated scientific images. The guidelines presented in this webinar will go a long way in helping scientists avoid pitfalls, unexpected artifacts, and unintentional misrepresentation of their image data.
- Hear about best-practice techniques for image processing
- Understand how to ensure images and data are appropriate for publication
- Learn how to identify and avoid the pitfalls of inappropriate image manipulation