Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143558
Title: Design and optimization of a spectrometer for high-resolution SD-OCT
Authors: Wang, Lulu
Yu, Xiaojun
Ge, Xin
Wu, Xuan
Wang, Xianghong
Bo, En
Wang, Nanshuo
Liu, Xinyu
Ni, Guangming
Liu, Linbo
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Wang, L., Yu, X., Ge, X., Wu, X., Wang, X., Bo, E., . . . Liu, L. (2019). Design and optimization of a spectrometer for high-resolution SD-OCT. Laser Physics Letters, 16(4), 045603-. doi:10.1088/1612-202X/ab0a5d
Journal: Laser Physics Letters
Abstract: We report the design of a high-efficiency spectrometer for high-resolution spectral-domain optical coherence tomography (SD-OCT). The advantages of the proposed spectrometer are two-fold: first, we use a concave mirror instead of a camera lens (as typically used) as the focusing optics to both improve the transmission efficiency and eliminate chromatic aberrations; second, the efficiency of the proposed spectrometer is approximately 1.23 times that of a refractive optics-based spectrometer for an SD-OCT system, with comparable ranging depth and axial resolution. Both theoretical analyses and imaging experiments were conducted to characterize and validate the performance of the proposed spectrometer.
URI: https://hdl.handle.net/10356/143558
ISSN: 1612-2011
DOI: 10.1088/1612-202X/ab0a5d
Schools: School of Electrical and Electronic Engineering 
Rights: © 2019 Astro Ltd. All rights reserved. This paper was published by IOP Publishing in Laser Physics Letters and is made available with permission of Astro Ltd. A Creative Commons Licence, or any other form of open access licence, may not be attached to articles published under the subscription model. For example, authors may not post the Accepted Manuscript in non-commercial repositories or noncommercial Scientific Social Networks which automatically apply an open access licence to the article which grants reuse rights under the terms of the repository or Scientific Social Network.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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