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Three-dimensional label-free histological imaging of whole organs by microtomy-assisted autofluorescence tomography

Three-dimensional (3D) histology is vitally important to characterize disease-induced tissue heterogeneity at the individual cell level. However, it remains challenging for both high-throughput 3D imaging and volumetric reconstruction. Here we propose a label-free, cost-effective, and ready-to-use 3...

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Published in:iScience 2022-01, Vol.25 (1), p.103721-103721, Article 103721
Main Authors: Zhang, Yan, Kang, Lei, Yu, Wentao, Tsang, Victor T.C., Wong, Terence T.W.
Format: Article
Language:English
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Summary:Three-dimensional (3D) histology is vitally important to characterize disease-induced tissue heterogeneity at the individual cell level. However, it remains challenging for both high-throughput 3D imaging and volumetric reconstruction. Here we propose a label-free, cost-effective, and ready-to-use 3D histological imaging technique, termed microtomy-assisted autofluorescence tomography with ultraviolet excitation (MATE). With the combination of block-face imaging and serial microtome sectioning, MATE can achieve rapid and label-free imaging of paraffin-embedded whole organs at an acquisition speed of 1 cm3 per 4 h with a voxel resolution of 1.2 × 1.2 × 10 μm3. We demonstrate that MATE enables simultaneous visualization of cell nuclei, fiber tracts, and blood vessels in mouse/human brains without tissue staining or clearing. Moreover, diagnostic features, including nuclear size and packing density, can be quantitatively extracted with high accuracy. MATE is augmented to the current slide-based 2D histology, holding great promise to facilitate histopathological interpretation at the organelle level. [Display omitted] •MATE enables label-free 3D imaging of whole organs without tissue staining or clearing•Various anatomical structures can be simultaneously visualized in a label-free manner•MATE reveals diagnostic features comparable with the gold standard histology•MATE facilitates comprehensive histopathological analysis at the subcellular level Biological sciences; Biophysics; Histology; Optical imaging
ISSN:2589-0042
2589-0042
DOI:10.1016/j.isci.2021.103721