Raman Peak Imaging
Raman Peak Imaging - Related Videos
07:16
Two-Color Stimulated Raman Scattering Imaging of Mouse Brain Tissue
0 Views •
2025
Source: Espinoza, R., et al. Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis. J. Vis. Exp. (2022). The video demonstrates two-color stimulated Raman scattering (SRS) imaging of mouse brain tissue sections. Two synchronized laser beams are directed onto the tissue section to excite molecular vibrations, resulting in a relative intensity change in the beams. Lipids and proteins in the tissue are detected using distinct frequency pairs of the laser...
09:26
Raman Spectroscopy for Chemical Analysis
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2023
Source: Laboratory of Dr. Ryoichi Ishihara — Delft University of Technology Raman spectroscopy is a technique for analyzing vibrational and other low frequency modes in a system. In chemistry it is used to identify molecules by their Raman fingerprint. In solid-state physics it is used to characterize materials, and more specifically to investigate their crystal structure or crystallinity. Compared to other techniques for investigating the crystal structure (e.g. transmission electron...
10:57
Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
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Cited by 3 •
2022
Stimulated Raman scattering (SRS) microscopy is a powerful, nondestructive, and label-free imaging technique. One emerging application is stimulated Raman histology, where two-color SRS imaging at the protein and lipid Raman transitions are used to generate pseudo-hematoxylin and eosin images. Here, we demonstrate a protocol for real-time, two-color SRS imaging for tissue diagnosis.
07:18
Highly-Multiplexed Tissue Imaging with Raman Dyes
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Cited by 5 •
2022
Electronic pre-resonance stimulated Raman scattering (epr-SRS) imaging of rainbow-like Raman dyes is a new platform for highly multiplexed epitope-based protein imaging. Here, we present a practical guide including antibody preparation, tissue sample staining, SRS microscope assembly, and epr-SRS tissue imaging.
07:51
Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall
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Cited by 16 •
2017
This protocol aims to present a general method to visualize lignin, cellulose, and hemicellulose in plant cell walls using Raman imaging and multivariate analysis.
FAQs
A selected peak is evaluated at every image pixel, and its intensity is assigned to the corresponding spatial position. The resulting pattern shows where the molecular component associated with that peak is concentrated or distributed. Comparing maps from different peaks can therefore distinguish chemical organization across cells, tissues, biomaterials, or engineered constructs.
Peak positions correspond to molecular vibrations, so they provide information about the chemical components contributing to a sample’s signal. This allows researchers to examine biochemical composition without adding a fluorescent label. In bioengineering, that chemical specificity supports analysis of both biological structures and the materials incorporated into engineered systems.
Raman Peak Imaging obtains chemical contrast from the sample’s Raman response rather than from an added fluorescent label. This label-free approach can examine native molecular features while preserving the sample for complementary analyses. The distinction is useful when researchers want biochemical information about cells, tissues, biomaterials, or constructs without relying on fluorescent labeling.
The sample is illuminated with monochromatic light, and the scattered signal is measured across the imaging area. Raman peaks are identified in the resulting measurements, then the intensity of a selected peak is assigned to each image pixel. Arranging those pixel values spatially produces a map of the associated molecular component.
The method can characterize biomaterial composition, examine tissue structure, monitor cell behavior, and evaluate engineered constructs. These applications use spatially resolved chemical information to connect material or tissue organization with biochemical features. It can also reveal biochemical changes during examination, helping researchers assess how biological systems and engineered materials relate to one another.
Because the approach does not require fluorescent labels, researchers can obtain biochemical information while retaining the sample for complementary analyses. This supports workflows in which the same cells, tissues, biomaterials, or engineered constructs may need additional examination. Preservation is especially relevant when chemical imaging is one part of a broader characterization strategy.