Papers › Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis Images

Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis Images

28 Oct 2020arXiv:2010.15086archive 2025-07-28

Hao-Chiang Shao, Ya-Jen Cheng, Meng-Yun Duh, Chia-Wen Lin

Recently, falsified images have been found in papers involved in research misconducts. However, although there have been many image forgery detection methods, none of them was designed for molecular-biological experiment images. In this paper, we proposed a fast blind inquiry method, named FBI_(GEL), for integrity of images obtained from two common sorts of molecular experiments, i.e., western blot (WB) and polymerase chain reaction (PCR). Based on an optimized pseudo-background capable of highlighting local residues, FBI_(GEL) can reveal traceable vestiges suggesting inappropriate local modifications on WB/PCR images. Additionally, because the optimized pseudo-background is derived according to a closed-form solution, FBI_(GEL) is computationally efficient and thus suitable for large scale inquiry tasks for WB/PCR image integrity. We applied FBI_(GEL) on several papers questioned by the public on \textbf{PUBPEER}, and our results show that figures of those papers indeed contain doubtful unnatural patterns.

PaperPDFCode

Code

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Tasks

Image Forgery Detection

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections