Raman Microscopy
Raman Microscopy - Related Videos
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...
07:44
Resonance Raman Spectroscopy of Extreme Nanowires and Other 1D Systems
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Cited by 1 •
2016
The paper describes a method for producing extreme nanowires by melt infiltration into carbon nanotubes and how 1D systems may be characterized and investigated using Resonance Raman Spectroscopy to determine vibrational and optical excitation energies.
06:48
A Multimodal Wide-Field Fourier-Transform Raman Microscope
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2025
A wide-field Fourier-transform microscope, based on a compact and ultra-stable birefringent interferometer, allows the parallel acquisition of spectra for all pixels of a 2D detector. The time-domain approach enables the disentanglement of photoluminescence and Raman signals, and allows rapid Raman mapping (~5 ms/pixel) with ~1-µm spatial and 23-cm-1 spectral resolution.
09:02
Fabricating a UV-Vis and Raman Spectroscopy Immunoassay Platform
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Cited by 4 •
2016
Nanoparticle-based optical probes have been designed as a vehicle for detecting antigens using Raman and UV-Vis spectroscopy. Here we describe a protocol for preparing such probes for a UV-Vis/Raman spectroscopy immunoassay in such a way to incorporate future multiplexing capabilities.
13:48
Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
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Cited by 20 •
2012
Raman spectroscopy is a suitable technique for the non-contact, label-free analysis of living cells, tissue-engineered constructs and native tissues. Source-specific spectral fingerprints can be generated and analyzed using multivariate analysis.
FAQs
The monochromatic laser stimulates light scattering within the sample, and a small portion of that scattered light changes energy because of molecular vibrations. The resulting spectral features reflect the vibrational behavior of molecules present in the illuminated region. Together, these features form a chemical fingerprint that can be compared across microscopic locations.
Spatial mapping links chemical information to specific microscopic regions rather than treating a sample as chemically uniform. In biological specimens, this makes it possible to distinguish cells, organelles, biomolecules, and tissue regions according to composition. The approach therefore connects molecular differences with location, helping reveal how chemical organization varies within a sample.
Conventional imaging can show biological structure, whereas Raman microscopy adds information about molecular composition without requiring fluorescent labels. This complementary relationship allows researchers to examine where chemical differences occur within visible microscopic structures. Combining spatial and chemical perspectives can support more informative interpretation of cells, tissues, and other biological samples.
A measurement begins by illuminating a selected sample region with monochromatic laser light. The system then records the inelastically scattered light produced by molecular vibrations and associates the resulting spectrum with the measured location. Repeating this process across microscopic positions generates a chemical map that can be examined for compositional differences.
In biology, the technique can be applied to label-free studies of cell metabolism, disease-related changes, drug responses, and tissue structure. Its usefulness comes from combining molecular fingerprints with spatial information, allowing researchers to compare chemically distinct regions or biological states. These applications extend beyond simply locating structures by examining their compositional characteristics.
Researchers can obtain spectra that act as molecular fingerprints and spatial maps showing where those fingerprints occur. Comparing measurements across cells, organelles, biomolecules, or tissue regions can reveal compositional distinctions and changes associated with disease or drug response. The resulting data provide both chemical characterization and microscopic localization for biological interpretation.