The Pulse
Nikon Strips First Place From Microscopy Video After AI Review
Nikon disqualified Ning Xu’s first-place Small World in Motion video on October 9, 2026, after finding it violated the contest’s rules on generative AI. Nguyen Nam Nhat’s video now ranks first as Nikon says it will review its rules and judg
AI.info Team · Written with AI ·
Nikon has removed its Small World in Motion contest’s first-place award from a microscopy video after concluding that the entry broke its rules on generative AI. The decision, announced October 9, 2026, moves Nguyen Nam Nhat’s video into first place and ends a review of the original winner, Ning Xu’s submission.
Nikon said it reassessed the video and its supporting materials and consulted members of the judging panel. The company’s decision is about eligibility under the competition rules, not a finding about Xu’s professional reputation, scientific work or intent.
“Nikon has determined that the winning video did not comply with the competition rules regarding generative AI.”
Nikon spokesperson, quoted by PetaPixel
What changed in Nikon’s rankings
Xu’s entry had been presented as showing abnormal movement in airway cilia, the tiny hairlike structures that line the respiratory tract. Nikon announced it as the contest winner in September. The revised ranking gives first place to Nhat’s video of a roundworm and a single-celled organism called Dileptus.
The reversal followed questions from people in the microscopy community about whether the video accurately represented what a microscope captured. Nikon first said it was reviewing the submission; after that review, it disqualified the entry and updated the rankings on its contest site.
Xu described AI in post-processing
Xu acknowledged using an AI method after the microscopy data had been reconstructed as grayscale images. In a LinkedIn comment quoted by The Verge, he described using “AI-assisted post-processing to distinguish and visualize features in the reconstructed grayscale images.”
That account describes processing, not a claim that the entire video was generated from scratch. Nikon’s public explanation does not specify which elements it found in breach or how the submitted materials led the judges to their decision. The company’s ruling establishes that it considered the entry ineligible under its rules; it does not provide a technical account of the video’s transformation.
A boundary the contest must define
The dispute turns on a difficult distinction for scientific images: processing can make captured data easier to interpret, but a generative system can also alter or add visual features. In a contest built around microscopic footage, that distinction matters to more than presentation. Viewers may read a polished image as evidence of what was physically present in the sample.
Nikon said the episode showed a need to revisit rules and evaluation procedures for future Small World and Small World in Motion entries. It has not yet specified what those changes will be or how it will distinguish permissible enhancement from prohibited generative work. For now, Nhat holds the first-place position, and Nikon’s public account of Xu’s disqualification rests on the rule violation rather than a detailed description of the processing at issue.