Hyperspectral scanning laser optical tomography
File(s)2018_Chen_hyperspec_slot_JBIOPHOT.pdf (1.42 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
In order to study physical relationships within tissue volumes or even organism-level systems, the spatial distribution of multiple fluorescent markers needs to be resolved efficiently in three dimensions. Here, rather than acquiring discrete spectral images sequentially using multiple emission filters, a hyperspectral scanning laser optical tomography system is developed to obtain hyperspectral volumetric data sets with 2-nm spectral resolution of optically transparent mesoscopic (millimeter-centimeter) specimens. This is achieved by acquiring a series of point-scanning hyperspectral extended depth of field images at different angles and subsequently tomographically reconstructing the 3D intensity distribution for each wavelength. This technique is demonstrated to provide robust measurements via the comparison of spectral and intensity profiles of fluorescent bead phantoms. Due to its enhanced spectral resolving ability, this technique is also demonstrated to resolve largely overlapping fluorophores, as demonstrated by the 3D fluorescence hyperspectral reconstruction of a dual-labeled mouse thymus gland sample and the ability to distinguish tumorous and normal tissues of an unlabeled mouse intestine sample.
Date Issued
2019-04-01
Date Acceptance
2018-09-04
Citation
Journal of Biophotonics, 2019, 12 (4)
ISSN
1864-063X
Publisher
Wiley-VCH Verlag
Journal / Book Title
Journal of Biophotonics
Volume
12
Issue
4
Copyright Statement
© 2018 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is the pre-peer reviewed version of the following article, which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1002/jbio.201800221
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30187691
Subjects
fluorescence
hyperspectral imaging
mesoscopic sample
three-dimensional imaging
tomography
Publication Status
Published
Coverage Spatial
Germany
Article Number
e201800221
Date Publish Online
2018-09-05