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Computational 3D microscopy with optical coherence refraction tomography

Authors :
Kevin C. Zhou
Ryan P. McNabb
Ruobing Qian
Simone Degan
Al-Hafeez Dhalla
Sina Farsiu
Joseph A. Izatt
Publication Year :
2022
Publisher :
arXiv, 2022.

Abstract

Optical coherence tomography (OCT) has seen widespread success as an in vivo clinical diagnostic 3D imaging modality, impacting areas including ophthalmology, cardiology, and gastroenterology. Despite its many advantages, such as high sensitivity, speed, and depth penetration, OCT suffers from several shortcomings that ultimately limit its utility as a 3D microscopy tool, such as its pervasive coherent speckle noise and poor lateral resolution required to maintain millimeter-scale imaging depths. Here, we present 3D optical coherence refraction tomography (OCRT), a computational extension of OCT that synthesizes an incoherent contrast mechanism by combining multiple OCT volumes, acquired across two rotation axes, to form a resolution-enhanced, speckle-reduced, refraction-corrected 3D reconstruction. Our label-free computational 3D microscope features a novel optical design incorporating a parabolic mirror to enable the capture of 5D plenoptic datasets, consisting of millimetric 3D fields of view over up to ± 75 ∘ without moving the sample. We demonstrate that 3D OCRT reveals 3D features unobserved by conventional OCT in fruit fly, zebrafish, and mouse samples.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....bf952fe2a39b5e9d66ed8c9bea845b68
Full Text :
https://doi.org/10.48550/arxiv.2202.11837