Dual CARS and SHG image acquisition scheme that combines single central fiber and multimode fiber bundle to collect and differentiate backward and forward generated photons.

Sheng Weng, Xu Chen, Xiaoyun Xu, Kelvin K Wong, Stephen T C Wong

Abstract read

In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

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1 citing paper in PubMed.

Combining deep learning and coherent anti-Stokes Raman scattering imaging for automated differential diagnosis of lung cancer.Journal of biomedical optics · 2017
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5 · Who and what money

Authors and funding

5 authors.

Sheng WengTranslational Biophotonics Lab, Department of Systems Medicine and Bioengineering, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, Texas 77030, USA; Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, USA.

Xu ChenTranslational Biophotonics Lab, Department of Systems Medicine and Bioengineering, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, Texas 77030, USA.

Xiaoyun XuTranslational Biophotonics Lab, Department of Systems Medicine and Bioengineering, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, Texas 77030, USA.

Kelvin K WongTranslational Biophotonics Lab, Department of Systems Medicine and Bioengineering, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, Texas 77030, USA.

Stephen T C WongTranslational Biophotonics Lab, Department of Systems Medicine and Bioengineering, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, Texas 77030, USA; Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In coherent anti-Stokes Raman scattering (CARS) and second harmonic generation (SHG) imaging, backward and forward generated photons exhibit different image patterns and thus capture salient intrinsic information of tissues from different perspectives. However, they are often mixed in collection using traditional image acquisition methods and thus are hard to interpret. We developed a multimodal scheme using a single central fiber and multimode fiber bundle to simultaneously collect and differentiate images formed by these two types of photons and evaluated the scheme in an endomicroscopy prototype. The ratio of these photons collected was calculated for the characterization of tissue regions with strong or weak epi-photon generation while different image patterns of these photons at different tissue depths were revealed. This scheme provides a new approach to extract and integrate information captured by backward and forward generated photons in dual CARS/SHG imaging synergistically for biomedical applications.

Indexed as

(110.2350) Fiber optics imaging(170.2150) Endoscopic imaging(170.3880) Medical and biological imaging(180.4315) Nonlinear microscopy(190.4160) Multiharmonic generation(300.6230) Spectroscopy, coherent anti-Stokes Raman scattering

Identifiers

PMID27375938

DOI10.1364/BOE.7.002202

PMCPMC4918576

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.