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Hej Sylvie,

1) look at the histogram for each channel
2) use a variance filter - if bits have been cut and pasted from different original images, the variance in the background may differ.
3) a more sophisticated option is to look for the local poisson noise - this should be the same in all areas of the image with a similar intensity - but will differ if cutting and pasting has been used.

However there is a competition between those committing fraud and those chasing fraud - both improve.
There is also a major interest in comparing papers to check if the same image has been re used.

Jeremy
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                    B i o V i s   P l a t f o r m of  Uppsala University
                   Light & EM microscopy / FlowCytometry & Cell Sorting / Image Analysis
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Jeremy Adler   PhD - Senior research engineer
Light, Confocal Microscopy, Image Analysis
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-----Original Message-----
From: Confocal Microscopy List <[log in to unmask]> On Behalf Of Sylvie Le Guyader
Sent: Tuesday, February 16, 2021 3:17 PM
To: [log in to unmask]
Subject: image manipulation

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Dear list

I remember hearing or reading somewhere of a Fiji (maybe) plugin to help group leaders detect potential image manipulation but I cannot find what it was. Has anyone heard of it who could point me to the right direction?

Med vänlig hälsning / Best regards

Sylvie

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Sylvie Le Guyader, PhD
Live Cell Imaging Facility Manager
Karolinska Institutet- Bionut Dpt
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Room 7362 (lab)/7840 (office)
14157 Huddinge, Sweden
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