Rapid histopathological imaging of skin and breast cancer surgical specimens using immersion microscopy with ultraviolet surface excitation
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s41598-018-22264-2.pdf
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Author(s)
Quintana, Liza M.
Vardeh, Hilde
Faulkner-Jones, Beverly E.
Connolly, James L.
Do, Daihung
Yoshitake, Tadayuki
Giacomelli, Michael
Cahill, Lucas Christopher
Fujimoto, James G
Date Issued
March 2018
Journal
Scientific Reports
Publisher
Nature Publishing Group
Citation
Yoshitake, Tadayuki et al. “Rapid Histopathological Imaging of Skin and Breast Cancer Surgical Specimens Using Immersion Microscopy with Ultraviolet Surface Excitation.” Scientific Reports 8, 1 (March 2018): 4476 © 2018 The Author(s)
Version
Final published version
Abstract
Rapid histopathological evaluation of fresh, unfixed human tissue using optical sectioning microscopy would have applications to intraoperative surgical margin assessment. Microscopy with ultraviolet surface excitation (MUSE) is a low-cost optical sectioning technique using ultraviolet illumination which limits fluorescence excitation to the specimen surface. In this paper, we characterize MUSE using high incident angle, water immersion illumination to improve sectioning. Propidium iodide is used as a nuclear stain and eosin yellow as a counterstain. Histologic features of specimens using MUSE, nonlinear microscopy (NLM) and conventional hematoxylin and eosin (H & E) histology were evaluated by pathologists to assess potential application in Mohs surgery for skin cancer and lumpectomy for breast cancer. MUSE images of basal cell carcinoma showed high correspondence with frozen section H & E histology, suggesting that MUSE may be applicable to Mohs surgery. However, correspondence in breast tissue between MUSE and paraffin embedded H & E histology was limited due to the thicker optical sectioning in MUSE, suggesting that further development is needed for breast surgical applicat ions. We further demonstrate that the transverse image resolution of MUSE is limited by the optical sectioning thickness and use co-registered NLM to quantify the improvement in MUSE optical sectioning from high incident angle water immersion illumination.
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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Attribution 4.0 International (CC BY 4.0)
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DOI of Published Version
https://doi.org/10.1038/s41598-018-22264-2
