Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2013 Conference on Lasers and Electro-Optics - International Quantum Electronics Conference
  • (Optica Publishing Group, 2013),
  • paper CL_5_3

Completely background free broadband coherent anti-Stokes Raman scattering spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

3-color coherent anti-Stokes Raman scattering (CARS) can be used to measure the dynamics of vibrationally excited states by controlling the time delay between the broadband and narrowband pulses. It is promising to simultaneously obtain the CARS spectra in time-frequency domains and monitor vibration dephasing times of multiple Raman modes, which is especially favourable in the studies of molecular dynamics, supra-molecular structure, chemistry and material science [1].However, the often present instantaneous nonresonant background (NRB) signal interferes with and typically dominates the much weaker resonant signals, leading to significant reduction [2].

© 2013 IEEE

PDF Article
More Like This
Nonresonant-Background-Free Broadband Coherent Anti-Stokes Raman Spectroscopy Using Picosecond Lasers

Sukesh Roy, Terrence R. Meyer, and James R. Gord
MD6 Laser Applications to Chemical, Security and Environmental Analysis (LACSEA) 2006

Background-free coherent anti-stokes Raman spectroscopy by all-fiber-generated dual-soliton as Stokes pulse

Kun Chen, Tao Wu, Haoyun Wei, and Yan Li
SF1O.3 CLEO: Science and Innovations (CLEO:S&I) 2016

Ultrabroadband Coherent Anti-Stokes Raman Scattering Microscopy For Biological Applications Via Supercontinuum Generation in Bulk Crystals

Federico Vernuccio, Chiara Ceconello, Arianna Bresci, Francesco Manetti, Salvatore Sorrentino, Renzo Vanna, Giulio Cerullo, and Dario Polli
cd_13_2 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2023

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.