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Adaptive optical imaging with entangled photons.
Cameron, Patrick; Courme, Baptiste; Vernière, Chloé; Pandya, Raj; Faccio, Daniele; Defienne, Hugo.
Afiliación
  • Cameron P; School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, UK.
  • Courme B; Sorbonne Université, CNRS, Institut des NanoSciences de Paris, INSP, F-75005 Paris, France.
  • Vernière C; Laboratoire Kastler Brossel, ENS-Universite PSL, CNRS, Sorbonne Universite, College de France, 75005 Paris, France.
  • Pandya R; Sorbonne Université, CNRS, Institut des NanoSciences de Paris, INSP, F-75005 Paris, France.
  • Faccio D; Sorbonne Université, CNRS, Institut des NanoSciences de Paris, INSP, F-75005 Paris, France.
  • Defienne H; Laboratoire Kastler Brossel, ENS-Universite PSL, CNRS, Sorbonne Universite, College de France, 75005 Paris, France.
Science ; 383(6687): 1142-1148, 2024 Mar 08.
Article en En | MEDLINE | ID: mdl-38452085
ABSTRACT
Adaptive optics (AO) has revolutionized imaging in fields from astronomy to microscopy by correcting optical aberrations. In label-free microscopes, however, conventional AO faces limitations because of the absence of a guide star and the need to select an optimization metric specific to the sample and imaging process. Here, we propose an AO approach leveraging correlations between entangled photons to directly correct the point spread function. This guide star-free method is independent of the specimen and imaging modality. We demonstrate the imaging of biological samples in the presence of aberrations using a bright-field imaging setup operating with a source of spatially entangled photon pairs. Our approach performs better than conventional AO in correcting specific aberrations, particularly those involving substantial defocus. Our work improves AO for label-free microscopy and could play a major role in the development of quantum microscopes.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Science Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Science Año: 2024 Tipo del documento: Article