Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/3800
Title: Optical imaging with signal processing for non-invasive diagnosis in gastric cancer: nonlinear optical microscopy modalities
Authors: Singh, Shyam
Jha, Hem Chandra
Keywords: Artificial intelligence;Coherent scattering;Diagnosis;Diseases;Fluorescence;Fluorescence microscopy;Nonlinear optics;Optical data storage;Optical microscopy;Optical signal processing;Photons;Raman scattering;Raman spectroscopy;Coherent anti Stokes Raman scattering;Early diagnosis;Gastric cancers;Nonlinear optical microscopy;Two-photon excited fluorescence;Harmonic generation
Issue Date: 2019
Publisher: Springer Verlag
Citation: Singh, S., & Jha, H. C. (2019). Optical imaging with signal processing for non-invasive diagnosis in gastric cancer: Nonlinear optical microscopy modalities doi:10.1007/978-981-13-0923-6_52
Abstract: Gastric cancer or stomach cancer has high incident rate and the leading cause of mortality worldwide. GC is usually undetected and asymptotic till the advanced chronic stages of its progression. Despite much advancement of technologies, still diagnosis is poor. This makes GC a fatal chronic disease. Over two decades of advancement in nonlinear optical (NLO) microscopy, it has become a powerful tool for laser-based imaging of tissue. Each of NLO modality is sensitive for specific molecule or structure. This may be useful for the understanding of the complex biological system in cancer detection. Here, we will discuss label-free, non-invasive endoscopy-based methods for morphological imaging by combining coherent anti-Stokes Raman scattering (CARS), Two-photon excited fluorescence (TPEF) and second-harmonic generation (SHG) methods of NLO microscopy. © Springer Nature Singapore Pte Ltd 2019.
URI: https://doi.org/10.1007/978-981-13-0923-6_52
https://dspace.iiti.ac.in/handle/123456789/3800
ISBN: 9789811309229
ISSN: 2194-5357
Type of Material: Conference Paper
Appears in Collections:Department of Biosciences and Biomedical Engineering

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