Nikon has disqualified the winner of its 2026 Small World in Motion competition, concluding that the award-winning microscopy video broke the contest's rules on generative AI — ending weeks of open revolt from the scientific community and setting an uncomfortable precedent for scientific imaging prizes.
The episode began in mid-September, when Ning Xu of Tsinghua University in Beijing took first place in the 16th edition of the contest with a super-resolution video of cell and cilia movement in the lungs of a child living with a rare genetic disorder. His entry beat 346 other videos from 40 countries.
Within days, researchers who study microscopy began dissecting the footage and reported anomalies — motion patterns and structures they said were not physically plausible. Nikon's rules are explicit: images or videos generated by AI are not eligible. An open letter from scientists urged the company to re-examine the entry. Xu denied that AI had generated the experiment itself, saying it had not been used to create the cilia or the underlying movie, although Nikon later added a note about AI-assisted post-processing beneath the video on its website.
Nikon then confirmed the ruling: the entry “did not comply with the competition rules regarding generative AI,” a company spokesperson said, and the title moved to the runner-up, Nguyen Nam Nhat, whose video shows a tiny roundworm and a single-celled Dileptus.
The stakes reach beyond a single prize. Small World in Motion is regarded as something of a gold standard for scientific microvideography, and its credibility rests on the assumption that what viewers see is what a microscope recorded. The case — alongside similar disputes over AI in photography competitions — has renewed calls for mandatory capture metadata, provenance signals of the kind championed by content-authenticity initiatives, and forensic analysis as an entry requirement rather than an afterthought.
