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Optical Imaging with Signal Processing for Non-invasive Diagnosis in Gastric Cancer: Nonlinear Optical Microscopy Modalities

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Machine Intelligence and Signal Analysis

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 748))

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.

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Acknowledgements

We are thankful to the Centre for Biosciences and Biomedical Engineering, Indian Institute of Technology Indore. We are also thankful to the Council of Scientific and Industrial Research grant no 37(1693)/17/EMR-II and Department of Science and Technology as Ramanujan fellowship grant no SB/S2/RJN-132/20/5. We appreciate our lab colleagues for insightful discussions and advice.

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Authors and Affiliations

  1. Centre for Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, 453552, India

    Shyam Singh & Hem Chandra Jha

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  1. Shyam Singh
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  2. Hem Chandra Jha
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Correspondence to Hem Chandra Jha .

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Editors and Affiliations

  1. Discipline of Mathematics, Indian Institute of Technology Indore, Simrol, Madhya Pradesh, India

    M. Tanveer

  2. Discipline of Electrical Engineering, Indian Institute of Technology Indore, Simrol, Madhya Pradesh, India

    Ram Bilas Pachori

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Singh, S., Jha, H.C. (2019). Optical Imaging with Signal Processing for Non-invasive Diagnosis in Gastric Cancer: Nonlinear Optical Microscopy Modalities. In: Tanveer, M., Pachori, R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. Springer, Singapore. https://doi.org/10.1007/978-981-13-0923-6_52

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