A1 Refereed original research article in a scientific journal
Harnessing artificial intelligence to reduce phototoxicity in live imaging
Authors: Gómez-de-Mariscal Estibaliz, Del Rosario Mario, Pylvänäinen Joanna W, Jacquemet Guillaume, Henriques Ricardo
Publisher: Company of Biologists
Publication year: 2024
Journal: Journal of Cell Science
Journal name in source: Journal of cell science
Journal acronym: J Cell Sci
Article number: jcs261545
Volume: 137
Issue: 3
ISSN: 0021-9533
eISSN: 1477-9137
DOI: https://doi.org/10.1242/jcs.261545
Web address : https://journals.biologists.com/jcs/article/137/3/jcs261545/342983/Harnessing-artificial-intelligence-to-reduce
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/387386571
Fluorescence microscopy is essential for studying living cells, tissues and organisms. However, the fluorescent light that switches on fluorescent molecules also harms the samples, jeopardizing the validity of results - particularly in techniques such as super-resolution microscopy, which demands extended illumination. Artificial intelligence (AI)-enabled software capable of denoising, image restoration, temporal interpolation or cross-modal style transfer has great potential to rescue live imaging data and limit photodamage. Yet we believe the focus should be on maintaining light-induced damage at levels that preserve natural cell behaviour. In this Opinion piece, we argue that a shift in role for AIs is needed - AI should be used to extract rich insights from gentle imaging rather than recover compromised data from harsh illumination. Although AI can enhance imaging, our ultimate goal should be to uncover biological truths, not just retrieve data. It is essential to prioritize minimizing photodamage over merely pushing technical limits. Our approach is aimed towards gentle acquisition and observation of undisturbed living systems, aligning with the essence of live-cell fluorescence microscopy.
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