Results 51 to 60 of about 291 (135)
Nonlinear optical microscopies (NOMs) and plasmon-enhanced NOMs for biology and 2D materials
In this review, we focus on the summary of nonlinear optical microscopies (NOMs), which are stimulated Raman scattering (SRS), coherent anti-Stokes Raman scattering (CARS), second harmonic generation (SHG), and two-photon excited fluorescence (TPEF). The
Ma Jialin, Sun Mengtao
doaj +1 more source
A Fano-resonance plasmonic assembly for broadband-enhanced coherent anti-Stokes Raman scattering
Surface-enhanced coherent anti-Stokes Raman scattering (SECARS) technique has triggered huge interests due to the significant signal enhancement for high-sensitivity detection.
Yujia Zhang +4 more
doaj +1 more source
Observation of Excitonic Instability in a Monolayer Ta2NiSe5 With Strain Disorder
Monolayer Ta2${\rm Ta}_2$NiSe5${\rm NiSe}_5$ sustains an excitonic insulating phase up to 190 K, with Raman signatures of gap opening and critical excitonic fluctuations. Thickness‐independent large gap ratios highlight strong exciton‐phonon coupling, while substrate‐induced strain disorder depresses Tc, establishing monolayer Ta2${\rm Ta}_2$NiSe5${\rm
So Young Kim +13 more
wiley +1 more source
Coherent Raman Scattering (CRS) has emerged in the last decade as a powerful multiphoton microscopy technique offering chemically specific label-free imaging in real time with high three-dimensional spatial resolution.
Wolfgang Langbein +3 more
doaj +1 more source
Analytical capabilities of coherent anti-Stokes Raman scattering microspectroscopy [PDF]
Nonlinear Raman scattering is an emerging spectroscopy technique for non-invasive microscopic imaging. It can produce a fluorescence background free vibrational spectrum from a microscopic volume of a sample providing chemically specific information about its molecular composition.
Rajan, Arora +2 more
openaire +2 more sources
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Coherent anti-Stokes Raman scattering in a high-finesse microcavity
We report the measurement of degenerate coherent anti-Stokes Raman scattering (CARS) in a high-finesse optical microcavity, with an atmospheric gas as the nonlinear medium. Unlike the well-known bulk process in which index-dispersion compensation is required for phase-matching, efficient microcavity CARS involves a resonant coupling at the Stokes, pump,
Benjamin, Petrak +2 more
openaire +2 more sources
In Vitro Raman Spectroscopic Characterization of Docetaxel‐Loaded Polymeric Nanoparticles
The chemotherapeutic drug docetaxel(DTX) is nanoformulated using Soluplus, Soluplus–TPGS, and Pluronic micelles and characterized by label‐free in vitro FT‐Raman spectroscopy. Distinct DTX Raman signatures confirm successful drug incorporation, while spectral decomposition reveals the superior performance of Soluplus–TPGS mixed micelles, paving the way
Sankar Jana +9 more
wiley +1 more source
In this work, we develop submicron‐resolution mapping of intracellular lipid elements (SMILE) as an extraction‐free vibrational spectroscopic imaging platform based on hyperspectral stimulated Raman scattering microscopy with a spectral analysis pipeline for pixel‐resolved lipid profiling.
Yihui Zhou +10 more
wiley +1 more source

