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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…

Since its first demonstration in the sixties, coherent anti-Stokes Raman scattering (CARS) has become a powerful spectroscopic sensing tool with broad applications in biology and chemistry. However, it is a complex nonlinear optical process…

Optics · Physics 2020-07-15 Gombojav O. Ariunbold , Supriya Nagpal , Bryan Semon

Raman spectroscopy is one of the key techniques in the study of vibrational modes and molecular structures. In Coherent Anti-Stokes Raman Scattering (CARS) spectroscopy, a molecular vibrational spectrum is resolved via the third-order…

Optics · Physics 2010-12-02 Ori Katz , Jonathan M. Levitt , Eran Grinvald , Yaron Silberberg

Coherent anti-Stokes Raman scattering (CARS) spectroscopy with time-delayed ultrashort pulses and a single-pixel photodetector has shown great potential for spectroscopic imaging and transient studies in chemistry and biological research.…

Optics · Physics 2023-12-05 Tianjian Lv , Bing Han , Ming Yan , Zhaoyang Wen , Kun Huang , Kangwen Yang , Heping Zeng

Optical spectroscopy and imaging of microscopic samples have opened up a wide range of applications throughout the physical, chemical, and biological sciences. High chemical specificity may be achieved by directly interrogating the…

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

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…

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

A new interferometric technique is demonstrated for measuring Coherent Anti-Stokes Raman Scattering (CARS) signals. Two forward-directed CARS signals are generated, one in each arm of an interferometer. The deterministic nature of the CARS…

Optics · Physics 2007-05-23 J. S. Bredfeldt , D. L. Marks , C. Vinegoni , S. Hambir , S. A. Boppart

We demonstrate a single-beam, standoff (>10m) coherent anti-Stokes Raman scattering spectroscopy (CARS) of various materials, including trace amounts of explosives and nitrate samples, under ambient light conditions. The multiplex…

Optics · Physics 2010-12-02 O. Katz , A. Natan , S. Rosenwaks , Y. Silberberg

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

We show that the increasingly popular nonlinear optical technique of time-domain coherent anti-Stokes Raman scattering (CARS), which is usually understood in terms of the semiclassical time-dependent third-order polarization, can be equally…

Optics · Physics 2014-06-03 Michele Marrocco

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

We demonstrate coherent anti-Stokes Raman scattering (CARS) microscopy in a wide-field setup with nanosecond laser pulse excitation. In contrast to confocal setups, the image of a sample can be recorded with a single pair of excitation…

Optics · Physics 2009-11-11 Christoph Heinrich , Stefan Bernet , Monika Ritsch-Marte

Airborne contaminants, e.g., bacterial spores, are usually analyzed by time consuming microscopic, chemical and biological assays. Current research into real time laser spectroscopic detectors of such contaminants is based on e.g. resonant…

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

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 propose a new technique for comparing two Raman active samples. The method employs optical interference of the signals generated via coherent anti-Stokes Raman scattering (CARS) of broadband laser pulses with noisy spectra. It does not…

Quantum Physics · Physics 2015-05-27 Evgeny A. Shapiro , Stanislav O. Konorov , Valery Milner

We theoretically investigate a scheme in which backward coherent anti-Stokes Raman scattering (CARS) is significantly enhanced by using slow light. Specifically, we reduce the group velocity of the Stokes excitation pulse by introducing a…

Optics · Physics 2017-01-03 Li Gong , Haifeng Wang

The ability to enhance resonant signals and eliminate the non-resonant background is analyzed for Coherent Anti-Stokes Raman Scattering (CARS). The analysis is done at a specific frequency as well as for broadband excitation using…

Quantum Physics · Physics 2015-03-19 Fang Gao , Feng Shuang , JunHui Shi , Herschel Rabitz , HaiFeng Wang , JiXin Cheng
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