Mapping nanoscale topographic features in thick tissues with speckle diffraction tomography
Name
s41377-023-01240-0.pdf
Size
1.72 MB
Format
Adobe PDF
Checksum (MD5)
577fdf46f521fe9e752b6efa934dfa87
Author(s)
Kang, Sungsam
Zhou, Renjie
Brelen, Marten
Mak, Heather K.
Lin, Yuechuan
So, Peter T. C.
Yaqoob, Zahid
Date Issued
August 22, 2023
Journal
Light: Science & Applications
Publisher
Springer Science and Business Media LLC
Citation
Kang, S., Zhou, R., Brelen, M. et al. Mapping nanoscale topographic features in thick tissues with speckle diffraction tomography. Light Sci Appl 12, 200 (2023).
Version
Final published version
Abstract
Resolving three-dimensional morphological features in thick specimens remains a significant challenge for label-free imaging. We report a new speckle diffraction tomography (SDT) approach that can image thick biological specimens with ~500 nm lateral resolution and ~1 μm axial resolution in a reflection geometry. In SDT, multiple-scattering background is rejected through spatiotemporal gating provided by dynamic speckle-field interferometry, while depth-resolved refractive index maps are reconstructed by developing a comprehensive inverse-scattering model that also considers specimen-induced aberrations. Benefiting from the high-resolution and full-field quantitative imaging capabilities of SDT, we successfully imaged red blood cells and quantified their membrane fluctuations behind a turbid medium with a thickness of 2.8 scattering mean-free paths. Most importantly, we performed volumetric imaging of cornea inside an ex vivo rat eye and quantified its optical properties, including the mapping of nanoscale topographic features of Dua’s and Descemet’s membranes that had not been previously visualized.
MIT Department
Massachusetts Institute of Technology. Laser Biomedical Research Center
Massachusetts Institute of Technology. Spectroscopy Laboratory
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/s41377-023-01240-0
