skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Deep learning wavefront sensing

Optics express, 2019-01, Vol.27 (1), p.240-251 [Peer Reviewed Journal]

ISSN: 1094-4087 ;EISSN: 1094-4087 ;DOI: 10.1364/OE.27.000240 ;PMID: 30645371

Full text available

Citations Cited by
  • Title:
    Deep learning wavefront sensing
  • Author: Nishizaki, Yohei ; Valdivia, Matias ; Horisaki, Ryoichi ; Kitaguchi, Katsuhisa ; Saito, Mamoru ; Tanida, Jun ; Vera, Esteban
  • Is Part Of: Optics express, 2019-01, Vol.27 (1), p.240-251
  • Description: We present a new class of wavefront sensors by extending their design space based on machine learning. This approach simplifies both the optical hardware and image processing in wavefront sensing. We experimentally demonstrated a variety of image-based wavefront sensing architectures that can directly estimate Zernike coefficients of aberrated wavefronts from a single intensity image by using a convolutional neural network. We also demonstrated that the proposed deep learning wavefront sensor can be trained to estimate wavefront aberrations stimulated by a point source and even extended sources.
  • Publisher: United States
  • Language: English
  • Identifier: ISSN: 1094-4087
    EISSN: 1094-4087
    DOI: 10.1364/OE.27.000240
    PMID: 30645371
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    Alma/SFX Local Collection
    ROAD: Directory of Open Access Scholarly Resources
    DOAJ Directory of Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait