Oh, come on, @[email protected] Science Translational Medicine, correcting a paper for a photoshopped image? That is absolutely bonkers, and you should do much, much better. #ThisImageIsFine #ImageForensics
*How *not* to handle image manipulation*. Editors, please do not address this level of photoshopping with a correction. In 2020, I flagged Figure 3D of this 2017 BBRC paper. Multiple regions appeared reused within or across panels. pubpeer.com/publications... #ImageForensics /
Wiley's Food Science & Nutrition clearly not checking for image duplication - this should have been caught in 2025. #ImageForensics
Can you spot something unexpected in these four panels? Hint: duplicated groups of fluorescent cells. This is an easy one! Tell or show me at least three sets of problems. The first three correct answers will win an Emoji Award. #ImageForensics
#ImageForensics Kidneys of four differently treated groups of animals. None of these photos should overlap. But is that true???? Tell or show me if you find at least 2 sets of overlaps.
Can you spot the #ImageForensics problem here? (and yes, the taped mice are problematic, too).
An interesting story from the @[email protected] archives. First, I found this super easy #ImageForensics duplication in this 2021 Vaccines paper, doi.org/10.3390/vacc... Shown with blue boxes. I posted it on PubPeer, in August 2022. pubpeer.com/publications... /
A good retraction by @[email protected] of Neurotrope/Synaptogenix / Thomas Jefferson U paper. The #$SNPX president/CSO called me a "sir", claimed figures were just 'illustrative examples', the senior author then dropped 200 hard-to-open, un-annotated 'lsm' files - fun times. #ImageForensics
Here is your #ImageForensics challenge of today. Nine panels, different time points and different treatments. None of the panels should overlap or look the same. But.... can you spot the unexpected overlap? This one is easy!
Can you spot the overlapping panels? Tell me which ones! The first three correct answers (either by illustration or a good description) will win that shiny Emoji Award. It will look so good on your resume! #ImageForensics