Spectroscopy Techniques in Biomedical and Chemical Research
Spectroscopy techniques such as Raman and infrared spectroscopy probe how molecules interact with light to reveal chemical composition without destroying the sample, making them especially powerful tools for studying biological tissues, proteins, and fluids. In biomedical research, these methods are used to identify cancerous tissue, track molecular changes in proteins, and monitor metabolites like glucose in ways that conventional imaging or chemical assays often cannot match. Advanced variants such as coherent anti-Stokes Raman scattering microscopy push further, enabling real-time chemical imaging at subcellular resolution inside living systems. Active work is focused on improving the sensitivity and speed of these techniques enough for clinical use, and on developing robust algorithms that can translate complex spectral data into reliable diagnostic conclusions.
- Works
- 76,716
- Total citations
- 883,856
- Keywords
- Raman SpectroscopyInfrared SpectroscopyBiomedical ImagingProtein AnalysisChemical ImagingTissue Diagnosis
Top papers in Spectroscopy Techniques in Biomedical and Chemical Research
Ordered by total citation count.
- Single Molecule Detection Using Surface-Enhanced Raman Scattering (SERS)↗ 6,723
- The Principles of Nonlinear Optics↗ 5,122
- Raman microspectroscopy of soot and related carbonaceous materials: Spectral analysis and structural information↗ 4,701
- Determination of Glucose in Blood Using Glucose Oxidase with an Alternative Oxygen Acceptor↗ 4,616
- Principles of Nonlinear Optical Spectroscopy↗ 4,594
- The Quantum Theory of Optical Coherence↗ 4,020OA
- Nanoshell-mediated near-infrared thermal therapy of tumors under magnetic resonance guidance↗ 3,913OA
- Optical properties of biological tissues: a review↗ 3,854
- Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra↗ 3,718
- Shell-isolated nanoparticle-enhanced Raman spectroscopy↗ 3,501
- Transdermal drug delivery↗ 3,395OA
- Use of proteomic patterns in serum to identify ovarian cancer↗ 3,256
Active researchers
Top authors in this area, ranked by h-index.