Aghigh, Arash; Cardot, Jysiane; Mohammadi, Melika Saadat; Jargot, Gaetan; Ibrahim, Heide; Plante, Isabelle 
ORCID: https://orcid.org/0000-0003-2080-6450 et Légaré, François
(2024).
Accelerating Polarization Resolved Second Harmonic Generation Imaging with Enhanced Super-Resolution Generative Adversarial Networks
In: 2024 Photonics North, (PN), 28-30 May 2024, Vancouver, BC, Canada.
Résumé
This study introduces a groundbreaking technique aimed at enhancing the efficiency of polarization-resolved second-harmonic generation (P-SHG) imaging for larger samples. Traditional P-SHG imaging methods are characterized by lengthy processing times and the need for costly equipment, posing significant limitations for their application on a larger scale. By merging the initial low-resolution P-SHG imaging with advanced image upscaling via Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN), our approach significantly reduces the imaging time by over 95%. Crucially, this method preserves the quality and accuracy of the imaging outcomes, reduces laser-induced sample damage, lowers the cost of optical components, and expands the accessibility of P-SHG imaging for comprehensive studies of large biological and material samples. Our innovation paves the way for new scientific discoveries and technological advancements in whole-sample imaging.
| Type de document: | Document issu d'une conférence ou d'un atelier |
|---|---|
| Informations complémentaires: | IEEE: Conference code: 201771 |
| Mots-clés libres: | Technological innovation; Costs; Superresolution; Imaging; Generative adversarial networks; Frequency conversion; Biology |
| Centre: | Centre Énergie Matériaux Télécommunications Centre INRS-Institut Armand Frappier |
| Date de dépôt: | 14 sept. 2024 19:14 |
| Dernière modification: | 14 sept. 2024 19:14 |
| URI: | https://espace.inrs.ca/id/eprint/15968 |
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