Tunable image-mapping optical coherence tomography

Jaeyul Lee; Xiaoxi Du; Jongchan Park; Qi Cui; Rishyashring R Iyer; Stephen A Boppart; Liang Gao

doi:10.1364/BOE.477646

Tunable image-mapping optical coherence tomography

Biomed Opt Express. 2023 Jan 5;14(2):627-638. doi: 10.1364/BOE.477646. eCollection 2023 Feb 1.

Authors

Jaeyul Lee^{1

2}, Xiaoxi Du^{1

2}, Jongchan Park¹, Qi Cui¹, Rishyashring R Iyer^{3

4}, Stephen A Boppart^{3

4

5}, Liang Gao¹

Affiliations

¹ Department of Bioengineering, University of California, Los Angeles, 410 Westwood Plaza, Los Angeles, California, 90095, USA.
² The authors contributed equally to this work.
³ Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61810, USA.
⁴ Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61810, USA.
⁵ Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61810, USA.

Abstract

We present tunable image-mapping optical coherence tomography (TIM-OCT), which can provide optimized imaging performance for a given application by using a programmable phase-only spatial light modulator in a low-coherence full-field spectral-domain interferometer. The resultant system can provide either a high lateral resolution or a high axial resolution in a snapshot without moving parts. Alternatively, the system can achieve a high resolution along all dimensions through a multiple-shot acquisition. We evaluated TIM-OCT in imaging both standard targets and biological samples. Additionally, we demonstrated the integration of TIM-OCT with computational adaptive optics in correcting sample-induced optical aberrations.

Abstract

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