Laterally super-resolving optical coherence tomography by intentional defocus and numerical compensation

Yoshiaki Yasuno; Jun-ichiro Sugisaka; Yusuke Sando; Shuichi Makita; Takashi Endo; Masahide Itoh; Toyohiko Yatagai

doi:10.1117/12.632968

7 October 2005 Laterally oranges super-resolving optical coherence tomography by intentional defocus and numerical compensation

Yoshiaki Yasuno, Jun-ichiro Sugisaka, Yusuke Sando, Shuichi Makita, Takashi Endo, Masahide Itoh, Toyohiko Yatagai

Author Affiliations +

Proceedings Volume 5861, Optical Coherence Tomography and Coherence Techniques II; 58610A (2005) https://doi.org/10.1117/12.632968
Event: European Conferences on Biomedical Optics 2005, 2005, Munich, Germany

Abstract

A method of lateral superresolution for Fourier domain optical coherence tomography is presented. This method consists of intentional defocus and its numerical compensation using a spatial frequency- phase filter. The designing process of the phase filter is described, and the superresolution effect is discussed theoretically. Experimental results of knife-edge test prove that the frequency filter enhances the lateral resolution better than a trans-form limited resolution.

Citation Download Citation

Yoshiaki Yasuno, Jun-ichiro Sugisaka, Yusuke Sando, Shuichi Makita, Takashi Endo, Masahide Itoh, and Toyohiko Yatagai "Laterally oranges super-resolving optical coherence tomography by intentional defocus and numerical compensation", Proc. SPIE 5861, Optical Coherence Tomography and Coherence Techniques II, 58610A (7 October 2005); https://doi.org/10.1117/12.632968

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available