Machine-Learning Approach in Nonlinear Optical Microscopy

Manvitha Amin; Manikanth Karnati; Guan Yu Zhuo; Yury V. Kistinev; Nirmal Mazumder

doi:10.1201/9781003545712-10

Machine-Learning Approach in Nonlinear Optical Microscopy

Manvitha Amin
, Manikanth Karnati
, Guan Yu Zhuo
, Yury V. Kistinev
, Nirmal Mazumder^*

^*Corresponding author for this work

Department of Biophysics, Manipal School of Life Sciences, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Nonlinear optical microscopy (NLO) technologies that have evolved include stimulated Raman scattering (SRS), coherent anti-Stokes Raman scattering (CARS), two-photon excited fluorescence (TPEF), second harmonic generation (SHG), and third harmonic generation (THG). Label-free deep optical sectioning is possible using NLO. Nonlinear optical techniques have several benefits over other optical imaging technologies, including depth penetration, noninvasiveness, ultrahigh-resolution, and high sensitivity. It contains the application in the field of biomedical research.

Original language	English
Title of host publication	Biophysical Techniques in Biosciences
Subtitle of host publication	From Fundamentals to Advanced Applications
Publisher	CRC Press
Pages	167-175
Number of pages	9
ISBN (Electronic)	9781040335758
ISBN (Print)	9781032899831
DOIs	https://doi.org/10.1201/9781003545712-10
Publication status	Published - 01-01-2025

All Science Journal Classification (ASJC) codes

General Biochemistry,Genetics and Molecular Biology
General Engineering
General Medicine
General Physics and Astronomy
General Agricultural and Biological Sciences

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10.1201/9781003545712-10

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title = "Machine-Learning Approach in Nonlinear Optical Microscopy",

abstract = "Nonlinear optical microscopy (NLO) technologies that have evolved include stimulated Raman scattering (SRS), coherent anti-Stokes Raman scattering (CARS), two-photon excited fluorescence (TPEF), second harmonic generation (SHG), and third harmonic generation (THG). Label-free deep optical sectioning is possible using NLO. Nonlinear optical techniques have several benefits over other optical imaging technologies, including depth penetration, noninvasiveness, ultrahigh-resolution, and high sensitivity. It contains the application in the field of biomedical research.",

author = "Manvitha Amin and Manikanth Karnati and Zhuo, \{Guan Yu\} and Kistinev, \{Yury V.\} and Nirmal Mazumder",

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doi = "10.1201/9781003545712-10",

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AU - Amin, Manvitha

AU - Karnati, Manikanth

AU - Zhuo, Guan Yu

AU - Kistinev, Yury V.

AU - Mazumder, Nirmal

PY - 2025/1/1

Y1 - 2025/1/1

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AB - Nonlinear optical microscopy (NLO) technologies that have evolved include stimulated Raman scattering (SRS), coherent anti-Stokes Raman scattering (CARS), two-photon excited fluorescence (TPEF), second harmonic generation (SHG), and third harmonic generation (THG). Label-free deep optical sectioning is possible using NLO. Nonlinear optical techniques have several benefits over other optical imaging technologies, including depth penetration, noninvasiveness, ultrahigh-resolution, and high sensitivity. It contains the application in the field of biomedical research.

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EP - 175

BT - Biophysical Techniques in Biosciences

PB - CRC Press

ER -

Machine-Learning Approach in Nonlinear Optical Microscopy

Abstract

All Science Journal Classification (ASJC) codes

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