Tag Archives: Südhof

More tensions at PubPeer

Wafik S El Deiry has now uploaded more than 40 times a rebuttal letter to PubPeer complaining about being bullied by “academic terrorism”. Thomas C Südhoff is even more aggressive with new ad hominem attacks as I just learned

https://med.stanford.edu/sudhoflab/integrity—pubpeer.html 1/8/2024

while his explanation of the numerous duplications is clearly wrong

… the tiny allegedly cloned areas of similar background signals partly overlap and are randomly distributed in the image. Besides the fact that it would make no sense to duplicate such small areas of background – a fraudster could just run a gel with empty lanes – and that such duplications do not improve the data, overlapping duplications like this are nearly impossible to manufacture.

Of course also small areas can be copied with the clone tool. If the placement is random or intentional can only be judged from the original image while an educated guess is certainly allowed. Running Photoshop is at least far more time and cost effective than running a gel with an empty lane.

A general problem here is that digital reproductions of images – both of immunoblots and of tissue sections or cells – can create artifactual microduplications especially if the image resolution is changed during reproductions.

This is outright wrong. Artifacts by capturing or stitching software is possible in theory while in practice we have found it only a few times.

So here comes my assessment of the now famous Synaptotagmin-1/Synaptopyhsin-1 immunoblot

screenshot from PubPeer 30/7/2024

The assessment is based on the directly extracted (inline) image from the PDF.

013.png 363 x 78 Pixel @ 72ppi

Identical patches were confirmed using 3 software packages Forensically,  ImageDup and ICMF.

ICMF https://ipolcore.ipol.im/demo/clientApp/demo.html?id=213&key=6317E0D9603764AC6FB3A9FAF3090847

Also the manual annotation below shows 100% identical areas where the KW+ lane pixel has been copied to KW- (the other direction is less likely). Not sure what had been there, dust, dirt, text marker or another dot?

manual pixel-wise annotation, click for full view

Südhof comments on this image  on his website

Mistake identified: Dr. E. Bik claims that the Suppl. Figure 6b immunoblot stripes (reproduced digitally at low resolution by the journal from a non-digital original blot) contains tiny areas of microduplications in the background pattern (not the actual signal). These areas are tiny, within a blot, randomly distributed, and only digitally identifiable. She implies that these blots are suspicious and could be manipulated.
Resolution: This is an unusually bizarre accusation since it refers to digital low resolution images in which tiny image areas would have been scrambled by a person if Dr. Bik’s accusation were correct. Even though she maintains publicly that she won’t speculate about motivations, her accusations imply a motivation that would be difficult to understand since any manipulation here would produce a partly altered background. The most likely explanation here is, like for many of the ‘mistakes’ identified by Dr. Bik’s A.I.-powered software, that these random microduplications are simply a reproduction artifact of a digitized image.
Classification: unfounded

Great story: The journal Nature Structural & Molecular Biology received the original blots and digitized them? So this is their fault? These are neither tiny spots, nor are they randomly distributed and of course, they can be seen by naked eye.

German newspapers covered the Südhof stor already (SPIEGEL, FAZ but also Science Magazine). Ulrich Dirnagel/Tagesspiegel believes that any intentional manipulation or deception cannot be recognized. I am not sure when looking at the images above.


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Südhof Case

There is a new video explaining the case

The PubPeer drama and the defense is at Südhof Website.

I added some comments at the PubPeer thread above regarding scientific integrity, compression artifacts, stiching bugs, corner cloning and other paltry excuses.

Post publication peer review is a serious and apparently necessary enterprise. Forensic image analysis is a scientific discipline like molecular biology – see Sencar et al, Beck, Miura et al. for this. Following the ground breaking work of Bik, Bucci and other image analysis experts it is now an integral part of scientific integrity studies. I would therefore hesitate to dismiss identical background areas as “Dr Bik’s A.I.-powered software”. Image duplication software is not even AI powered as it uses rather conventional techniques and can even be verified by the naked eye. Low quality scanner and poor cameras are also not leading to the observation above. Text recognition (Xerox bug) as discussed by #19 is not involved here, neither is this the Thermo Fisher quantification bug nor is this a new case of corner cloning by the publisher. Funny other excuses at PP in similar cases are artefacts by sandwich impressions of other membranes, fingerprints & dirt traces, pen artefacts and explanations like “the scanner mixed up a double exposure””, “we could scan only smaller areas and made an error when pasting pieces together”.

Here are the inks to
Nikon stitching bug
Xerox text recognition bug
Thermo Fisher quantification bug
– corner cloning type 1 (label exchange?), type 2 (scale exchange?)  and type 3 (rotational cut?)

It’s a pain, Stanford has the knowledge while this does not prevent msiconduct.


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