High-speed, multi-modal, label-free imaging of pathological slices with a Bessel beam.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 May 2020
Historique:
received: 20 02 2020
revised: 11 04 2020
accepted: 13 04 2020
entrez: 6 6 2020
pubmed: 6 6 2020
medline: 6 6 2020
Statut: epublish

Résumé

Optical imaging of stained pathological slices has become the gold standard for disease diagnosis. However, the procedure of sample preparation is complex and time-consuming. Multiphoton microscopy (MPM) is promising for label-free imaging, but the imaging speed is limited, especially for whole slice imaging. Here we propose a high-speed, multi-modal, label-free MPM by Bessel scan-based strip mosaicking. With a Bessel beam for excitation, the extended depth-of-focus not only enables full axial information acquisition at once, but also alleviates the demanding requirement of sample alignment. With the strip mosaicking protocol, we can save the time of frequent sample transferring. Besides, we add a closely-attached reflection mirror under the sample for enhancing epi-detection signals, and employ circularly polarized beams for recording comprehensive information. We demonstrate its application in multi-modal, label-free imaging of human gastric cancer slices and liver cancer slices, and show its potential in rapid disease diagnosis.

Identifiants

pubmed: 32499953
doi: 10.1364/BOE.391143
pii: 391143
pmc: PMC7249815
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2694-2704

Informations de copyright

© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest related to this article.

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Auteurs

Chi Liu (C)

State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
equal contribution.

Zhifeng Zhao (Z)

Department of Automation, Tsinghua University, Beijing 100084, China.
equal contribution.

Cheng Jin (C)

State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.

Ying Xiao (Y)

Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.

Guoqiang Gao (G)

Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.

Hao Xie (H)

Department of Automation, Tsinghua University, Beijing 100084, China.

Qionghai Dai (Q)

Department of Automation, Tsinghua University, Beijing 100084, China.

Hongfang Yin (H)

Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.
yhfa00530@btch.edu.cn.

Lingjie Kong (L)

State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China.
konglj@tsinghua.edu.cn.

Classifications MeSH