AI's Impact on Scientific Imaging

Scientific imaging techniques are changing significantly with the advent of artificial intelligence, which has become capable of enhancing microscopic image quality and reconstructing parts of images. This raises concerns about the accuracy of images representing real phenomena. In the recent Nikon competition, a video showing the movement of eyelashes won, but researchers noted that some of its visible details are difficult to interpret biologically and appear to have been created using AI algorithms, even though neural networks were not used to generate the original image. Studies confirm that AI can add or remove unreliable details, threatening the credibility of scientific data. Guidelines emphasize the importance of disclosing digital processing and documenting each step to preserve the integrity of scientific images. With competitions now restricting AI-generated images, questions are emerging about the reliability of microscopic images, highlighting the need to track all modifications made to the original data to ensure an accurate representation of the true phenomenon.

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