Multi-channel spectral-domain optical coherence tomography using single spectrometer

Yukun Wang, Si Chen, Kan Lin, Xi Chen, Zhengyang Xu, Shiliang Lou, Xin Ge, Guangming Ni, Xiaojun Yu, Jianhua Mo, Quanquan Mu, Linbo Liu

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Multi-channel detection is an effective way to improve data throughput of spectral-domain optical coherence tomography (SDOCT). However, current multi-channel OCT requires multiple detectors, which increases the complexity and cost of the system. We propose a novel multi-channel detection design based on a single spectrometer. Each camera pixel receives interferometric spectral signals from all the channels but with a spectral shift between two channels. This design effectively broadens the spectral bandwidth of each pixel, which reduces relative intensity noise (RIN) by pM times with M being the number of channels. We theoretically analyzed the noise of the proposed design under two cases: shot-noise limited and electrical noise or RIN limited. We show both theoretically and experimentally that this design can effectively improve the sensitivity, especially for electrical noise or RIN-dominated systems.

Original languageEnglish
Article number051102
JournalChinese Optics Letters
Volume21
Issue number5
DOIs
StatePublished - 10 May 2023

Keywords

  • fiber-optic sensor
  • imaging system
  • multiple channels
  • optical coherence tomography

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