Direct comparison between confocal and multiphoton microscopy for rapid histopathological evaluation of unfixed human breast tissue
Name
Yoshitake-2016-Direct comparison between confo.pdf
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Author(s)
Schmolze, Daniel B.
Vardeh, Hilde
Faulkner-Jones, Beverly E.
Connolly, James L.
Yoshitake, Tadayuki
Giacomelli, Michael
Cahill, Lucas Christopher
Fujimoto, James G
Date Issued
December 2016
Journal
Journal of Biomedical Optics
Publisher
SPIE
Citation
Yoshitake, Tadayuki et al. “Direct Comparison between Confocal and Multiphoton Microscopy for Rapid Histopathological Evaluation of Unfixed Human Breast Tissue.” Journal of Biomedical Optics 21.12 (2016): 126021. © 2016 SPIE
Version
Final published version
Abstract
Rapid histopathological examination of surgical specimen margins using fluorescence microscopy during breast conservation therapy has the potential to reduce the rate of positive margins on postoperative
histopathology and the need for repeat surgeries. To assess the suitability of imaging modalities, we perform a direct comparison between confocal fluorescence microscopy and multiphoton microscopy for imaging unfixed
tissue and compare to paraffin-embedded histology. An imaging protocol including dual channel detection of two contrast agents to implement virtual hematoxylin and eosin images is introduced that provides high quality imaging under both one and two photon excitation. Corresponding images of unfixed human breast tissue show that both confocal and multiphoton microscopy can reproduce the appearance of conventional histology without the need for physical sectioning. We further compare normal breast tissue and invasive cancer specimens imaged at multiple magnifications, and assess the effects of photobleaching for both modalities using the staining protocol. The results demonstrate that confocal fluorescence microscopy is a promising and cost-effective
alternative to multiphoton microscopy for rapid histopathological evaluation of ex vivo breast tissue.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1117/1.jbo.21.12.126021
