Open Access
27 September 2019 Rapid, label‐free detection of intracranial germinoma using multiphoton microscopy
Na Fang, Zanyi Wu, Xingfu Wang, Ning Cao, Yuanxiang Lin, Lianhuang Li, Yupeng Chen, Shanshan Cai, Haohua Tu, Dezhi Kang, Jianxin Chen
Author Affiliations +
Abstract

Accurate histopathological diagnosis is essential for facilitating the optimal surgical management of intracranial germinoma. Current intraoperative histological methods are time- and labor-intensive and often produce artifacts. Multiphoton microscopy (MPM) is a label-free imaging technique that can produce intraoperative histological images of fresh, unprocessed surgical specimens. We employ an MPM based on second-harmonic generation and two-photon excited fluorescence microscopy to image fresh, unfixed, and unstained human germinoma specimens. We show that label-free MPM is not only capable of identifying various cells in human germinoma tissue but also capable of revealing the characteristics of germinoma such as granuloma, stromal fibrosis, calcification, as well as the abnormal and uneven structures of blood vessels. In conjunction with custom-developed image-processing algorithms, MPM can further quantify and characterize the extent of stromal fibrosis and calcification. Our results provide insight into how MPM can deliver rapid diagnostic histological data that could inform the surgical management of intracranial germinoma.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Na Fang, Zanyi Wu, Xingfu Wang, Ning Cao, Yuanxiang Lin, Lianhuang Li, Yupeng Chen, Shanshan Cai, Haohua Tu, Dezhi Kang, and Jianxin Chen "Rapid, label‐free detection of intracranial germinoma using multiphoton microscopy," Neurophotonics 6(3), 035014 (27 September 2019). https://doi.org/10.1117/1.NPh.6.3.035014
Received: 12 April 2019; Accepted: 28 August 2019; Published: 27 September 2019
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Collagen

Image segmentation

Second-harmonic generation

Brain

Tissues

Multiphoton microscopy

Blood vessels

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