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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 interferometric technique for measuring Coherent Anti-Stokes Raman Scattering (CARS) and Second Harmonic Generation (SHG) signals. Heterodyne detection is employed to increase the sensitivity in both CARS and SHG signal…

Optics · Physics 2009-11-10 C. Vinegoni , J. S. Bredfeldt , D. L. Marks , S. A. Boppart

Coherent anti-Stokes Raman scattering (CARS) microscopy is combined with second harmonic generation (SHG) technique in order to follow the early stage of stem cell differentiation within a 3D scaffold. CARS microscopy can detect lipid…

Biological Physics · Physics 2015-10-28 Leonardo Mortati , Carla Divieto , Maria Paola Sassi

We extend image scanning microscopy to second harmonic generation (SHG) by extracting the complex field amplitude of the second-harmonic beam. While the theory behind coherent image scanning microscopy (ISM) is known, an experimental…

Optics · Physics 2022-03-14 Dekel Raanan , Man Suk Song , William A Tisdale , Dan Oron

Optical detection of individual nanometer-sized analytes, virus particles, and protein molecules holds great promise for understanding and control of biological samples and healthcare applications. As fluorescent labels impose restrictions…

Optics · Physics 2020-10-19 Martin Dieter Baaske , Peter Sebastian Neu , Michel Orrit

The sensitivity of classical Raman spectroscopy methods, such as Coherent Anti-Stokes Raman spectroscopy (CARS) or Stimulated Raman spectroscopy (SRS), is ultimately limited by shot-noise from the stimulating fields. We present the complete…

Optics · Physics 2021-10-22 Yoad Michael , Leon Bello , Michael Rosenbluh , Avi Pe'er

Stimulated Raman scattering (SRS) microscopy allows for high-speed label-free chemical imaging of biomedical systems. The imaging sensitivity of SRS microscopy is limited to ~10 mM for endogenous biomolecules. Electronic pre-resonant SRS…

Label-free approaches are attractive in cytological imaging due to their flexibility and cost efficiency. They are supported by machine learning methods, which, despite the lack of labeling and the associated lower contrast, can classify…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Stefan Röhrl , Johannes Groll , Manuel Lengl , Simon Schumann , Christian Klenk , Dominik Heim , Martin Knopp , Oliver Hayden , Klaus Diepold

We investigate how feature selection algorithms can enable accurate, reference-free classification of materials using sparse-frequency terahertz (THz) reflection spectroscopy. Three classes of feature selection strategies are evaluated.…

Applied Physics · Physics 2026-03-03 Mathias Hedegaard Kristensen , Paweł Piotr Cielecki , Esben Skovsen

Coherent spin resonance techniques, such as nuclear and electron spin resonance spectroscopy, have revolutionized non-invasive imaging by providing spectrally resolved information about spin dynamics. Motivated by the recent emergence of…

Quantum Physics · Physics 2026-02-25 Santiago Beltrán-Romero , Stefan Löffler , Dennis Rätzel , Philipp Haslinger

Coherent Raman scattering microscopy is a fast, label-free and chemically specific imaging technique that has a high potential for future in-vivo optical histology. However, its imaging depth into tissues is limited to the sub-millimeter…

Can a single label-free image reveal whether cancer cells were exposed to chemotherapy? We present an innovative methodology on the label-free and high-resolution imaging properties of phase holotomographic microscopy coupled with neural…

We propose a novel approach using Multiplex-Coherent Anti-Stokes Raman Scattering (M-CARS) for la-bel-free discriminations in biomedical tissues. The strategy is based on the evaluation of the contrast be-tween resonant and nonresonant…

Second-harmonic generation (SHG) microscopy provides label-free imaging of biological tissues with unique contrast mechanisms, but its resolution is limited by the diffraction limit. Here, we present the first experimental demonstration of…

Optics · Physics 2023-04-28 Jungho Moon , Sungsam Kang , Jin Hee Hong , Seokchan Yoon , Wonshik Choi

In situ measurement of cellular metabolites is still a challenge in biology. Conventional methods, such as mass spectrometry or fluorescence microscopy, would either destruct the sample or introduce strong perturbations to the functions of…

Quantitative Methods · Quantitative Biology 2019-12-19 Kai-Chih Huang , Junjie Li , Chi Zhang , Yuying Tan , Ji-Xin Cheng

Label-free microscopy exploits light scattering to obtain a three-dimensional image of biological tissues. However, light propagation is affected by aberrations and multiple scattering, which drastically degrade the image quality and limit…

Label-free optical microscopy through absorption or scattering spectroscopy provides fundamental insights across biology and materials science, yet its sensitivity remains fundamentally limited by photon shot noise. While recent…

We theoretically and experimentally demonstrate a multifrequency excitation and detection scheme in apertureless near field optical microscopy, that exceeds current state of the art sensitivity and background suppression. By exciting the…

Optics · Physics 2018-01-30 H. Greener , M. Mrejen , U. Arieli , H. Suchowski

Label-free vibrational imaging by stimulated Raman scattering (SRS) provides unprecedented insight into real-time chemical distributions in living systems. Specifically, SRS in the fingerprint region can resolve multiple chemicals in a…

Recognizing multiple labels of images is a practical and challenging task, and significant progress has been made by searching semantic-aware regions and modeling label dependency. However, current methods cannot locate the semantic regions…

Computer Vision and Pattern Recognition · Computer Science 2019-08-21 Tianshui Chen , Muxin Xu , Xiaolu Hui , Hefeng Wu , Liang Lin