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Coherent anti-Stokes Raman scattering (CARS) microspectroscopy has demonstrated significant potential for biological and materials imaging. To date, however, the primary mechanism of disseminating CARS spectroscopic information is through…

Optics · Physics 2015-10-08 Charles H. Camp , Young Jong Lee , Marcus T. Cicerone

We present a new collection of processing techniques, collectively "factorized Kramers--Kronig and error correction" (fKK-EC), for (a) Raman signal extraction, (b) denoising, and (c) phase- and scale-error correction in coherent anti-Stokes…

Signal Processing · Electrical Eng. & Systems 2020-12-10 Charles H. Camp , John S. Bender , Young Jong Lee

: Non-resonant background (NRB) plays a significant role in coherent anti-Stokes Raman scattering (CARS) spectroscopic applications. All the recent works primarily focused on removing the NRB using different deep learning methods, and only…

We have developed an interferometric implementation of coherent anti-Stokes Raman scattering (CARS) which enables broadband coherent Raman spectroscopy free from non-resonant background (NRB), with a signal strength proportional to…

Optics · Physics 2014-02-25 Brad Littleton , Thomas Kavanagh , Frederic Festy , David Richards

In many areas of physics, the Kramers-Kronig (KK) relations are used to extract information about the real part of the optical response of a medium from its imaginary counterpart. In this paper we discuss an alternative but mathematically…

Atomic Physics · Physics 2015-04-01 K. A. Whittaker , J. Keaveney , I. G. Hughes , C. S. Adams

Coherent anti-Stokes Raman Spectroscopy (CARS) is a laser-based measurement technique widely applied across many science and engineering disciplines to perform non-intrusive gas diagnostics. CARS is often used to study combustion, where the…

Machine Learning · Computer Science 2022-05-25 Gregory J. Hunt , Cody R. Ground , Andrew D. Cutler

Nonlinear optical methods, such as coherent anti-Stokes Raman scattering (CARS) and stimulated Raman scattering (SRS), are able to perform label free imaging, with chemical bonds specificity. Here, we demonstrate that the use of circularly…

Coherent Anti Stokes Raman Scattering (CARS) offers many advantages for nonlinear bio-imaging, thanks to its sub-cellular spatial resolution and unique chemical specificity. Its working principle requires two incident pulsed laser beams…

An extension of the Kramers-Kronig method for treatment of polarized infrared reflectance spectra from the face of low-symmetry crystals, where directions of principal dielectric axes depend on frequency, is proposed. It is shown, how to…

Materials Science · Physics 2008-02-03 A. B. Kuz'menko , E. A. Tishchenko , A. S. Krechetov

We present super-resolved coherent anti-Stokes Raman scattering (CARS) microscopy by implementing phase-resolved image scanning microscopy (ISM), achieving up to two-fold resolution increase as compared with a conventional CARS microscope.…

Optics · Physics 2024-11-22 Anna Zhitnitsky , Elad Benjamin , Ora Bitton , Dan Oron

We develop a computational framework to examine the factors responsible for scattering-induced distortions of coherent anti-Stokes Raman scattering (CARS) signals in turbid samples. We apply the Huygens-Fresnel Wave-based Electric Field…

Computational Physics · Physics 2020-12-18 Janaka C. Ranasinghesagara , Giuseppe de Vito , Vincenzo Piazza , Eric O. Potma , Vasan Venugopalan

Chemical imaging enabled by Raman processes is crucial to investigating biological and chemical samples in a label-free manner. Stimulated Raman spectroscopy (SRS) overcomes the key limitation associated with low signal levels in…

Optics · Physics 2026-03-25 Florian M. Schweizer , Hannah Terrasa , Manish Garg

Coherent anti-Stokes Raman scattering (CARS) microscopy offers label-free chemical imaging capabilities, but its performance is constrained by small Raman scattering cross-section, strong non-resonant background (NRB), and limited…

A universal method of extraction of the complex dielectric function $\epsilon(\omega)=\epsilon_{1}(\omega)+i\epsilon_{2}(\omega)$ from experimentally accessible optical quantities is developed. The central idea is that…

Other Condensed Matter · Physics 2009-11-11 A. B. Kuzmenko

We propose a Bayesian statistical model for analyzing coherent anti-Stokes Raman scattering (CARS) spectra. Our quantitative analysis includes statistical estimation of constituent line-shape parameters, underlying Raman signal,…

Applications · Statistics 2020-05-15 Teemu Härkönen , Lassi Roininen , Matthew T. Moores , Erik M. Vartiainen

Kramers-Kronig (KK) analysis has been widely used to extract the optical conductivity spectrum from a broad range of reflectance spectrum obtained from far-infrared to ultraviolet frequency ranges. In this study, we present how measurement…

Optics · Physics 2024-09-11 Jeong Woo Han

Low-loss electron energy loss spectroscopy (EELS) in the scanning transmission electron microscope (STEM) probes the valence electron density and relevant optoelectronic properties such as band gap energies and other band structure…

Materials Science · Physics 2018-11-20 Alberto Eljarrat , Christoph T. Koch

Coherent Raman scattering (CRS) spectroscopy techniques have been widely developed and optimized for different applications in biomedicine and fundamental science. The most utilized CRS technique has been coherent anti-Stokes Raman…

Optics · Physics 2020-03-05 Pavel Kolesnichenko , Jonathan O. Tollerud , Jeffrey A. Davis

Coherent Anti-Stokes Raman Scattering (CARS) processes are ``coherent,'' but the phase of the anti-Stokes radiation is usually lost by most incoherent spectroscopic CARS measurements. We propose a novel Raman microscopy imaging method…

Optics · Physics 2009-11-10 D. L. Marks , S. A. Boppart

Broadband coherent anti-Stokes Raman scattering (CARS) spectroscopy plays a vital role in chemical sensing and label-free vibrational imaging, yet conventional methods suffer from limited acquisition speeds and complex detection schemes.…

Optics · Physics 2025-07-23 Jing Hu , Tianjian Lv , Zhaoyang Wen , Wending Huang , Ming Yan , Heping Zeng
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