RamanSpec.

Enhancement Factors: A Central Concept during 50 Years of Surface-Enhanced Raman Spectroscopy In this Perspective, we provide an overview of the core concepts around surface-enhanced Raman spectroscopy (SERS) enhancement factors (EFs), including both theoretical and experimental considerations...

Perspective article discussing enhancement factors relevant to SERS. doi.org/10.1021/acsn...

Posthandling Spectral Information Enhancement for Single Cell Raman Molecular Mapping Analysis Biochemical analysis of living systems such as single cells benefits greatly from the label-free and low-invasive molecular mapping with Raman microspectroscopy. Sets of Raman spectra at different spatial points are analyzed to generate Raman molecular maps corresponding to specific chemical species. However, human error and subjective data analysis can be technical issues that limit interpretation and its validity. Here, we present an objective data analysis scheme for postprocessing large data sets of Raman spectra for molecular mapping of living cells. The process comprises three steps: (i) Denoising the spectral data set using low-rank approximation; (ii) obtaining an objective background from data points outside the target cell; (iii) subtracting the thus obtained background using Hypothetical Addition Multivariate Analysis with Numerical Differentiation (HAMAND) via an automatically determined coefficient. Through the present analysis, minor Raman peaks, as indiscernible as they are, can be identified and precisely mapped. We demonstrate a quantitative discussion of cellular components after extracting contributions only from a single target cell from a Raman mapping image where multiple cells or parts of other cells are present. This work opens an improved analysis workflow for accurate spectroscopic analysis of living cells with the advantage of identifying minor Raman peaks unambiguously.

By refining how we process Raman information, the study transforms every cell from a blur of chemistry into a clearly textured molecular landscape.

pubs.acs.org/doi/10.1021/...

Isotope labeling for cellular dynamics !

www.sciencedirect.com/science/arti...

Direct imaging of intracellular RNA, DNA, and liquid–liquid phase separated membraneless organelles with Raman microspectroscopy - Communications Biology Raman spectroscopy is employed to show simultaneous, label-free imaging of RNA, DNA, and proteins, revealing secondary structural features of intracellular LLPS organelles, and condensed chromosome.

Liquid liquid phase separation resolved in cells
doi.org/10.1038/s420...

Exploring feature extraction methods for Raman spectroscopy: A comparative study Raman spectroscopy is a robust, non-destructive analytical technique that offers detailed insights into the chemical composition, molecular structure,…

www.sciencedirect.com/science/arti...

Measurement of Lateral Resolution in Confocal Raman Spectroscopy Using Indium Arsenide Nanowires Lateral resolution is a key performance parameter for confocal Raman spectroscopy. We propose a protocol using an indium arsenide nanowire reference sample to quantitatively measure the resolution. T....

analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/...

Quantification of titanium dioxide (TiO2) anatase and rutile polymorphs in binary mixtures by Raman spectroscopy: an interlaboratory comparison - IOPscienceSearch Quantification of titanium dioxide (TiO2) anatase and rutile polymorphs in binary mixtures by Raman spectroscopy: an interlaboratory comparison, Sacco, Alessio, Mandrile, Luisa, Tay, Li-Lin, Itoh, Nobuyasu, Raj, Ankit, Moure, Alberto, Del Campo, Adolfo, Fernandez, Jose F, Paton, Keith R, Wood, Sebastian, Kwon, Hyuksang, Adel, Tehseen, Hight Walker, Angela R, Martins Ferreira, Erlon Henrique, Theissmann, Ralf, Koch, Thomas, Giovannozzi, Andrea Mario, Portesi, Chiara, Rossi, Andrea Mario

Bringing Raman Metrology for the analysis of titanium dioxide, a useful material for industrial and catalysis.

iopscience.iop.org/article/10.1...

doi.org/10.1002/jrs.... "Application of Raman spectroscopy for the detection and identification of microorganisms"

Raman spectroscopy in cell biology and microbiology This review describes current progresses of Raman spectroscopy in characterizing and imaging living eukaryotic cells, bacteria, and viruses. The Raman spectrum, specific to different types of unicell...

New perspectives in cell biology (identification, classification and more) studied via Raman spectroscopy. Check out this review work :

doi.org/10.1002/jrs....

A Short Review of Cavity-Enhanced Raman Spectroscopy for Gas Analysis The market of gas sensors is mainly governed by electrochemical, semiconductor, and non-dispersive infrared absorption (NDIR)-based optical sensors. Despite offering a wide range of detectable gases, ...

doi.org/10.3390/s210...

From Genotype to Phenotype: Raman Spectroscopy and Machine Learning for Label-Free Single-Cell Analysis Raman spectroscopy has made significant progress in biosensing and clinical research. Here, we describe how surface-enhanced Raman spectroscopy (SERS) assisted with machine learning (ML) can expand its capabilities to enable interpretable insights into the transcriptome, proteome, and metabolome at the single-cell level. We first review how advances in nanophotonics–including plasmonics, metamaterials, and metasurfaces–enhance Raman scattering for rapid, strong label-free spectroscopy. We then discuss ML approaches for precise and interpretable spectral analysis, including neural networks, perturbation and gradient algorithms, and transfer learning. We provide illustrative examples of single-cell Raman phenotyping using nanophotonics and ML, including bacterial antibiotic susceptibility predictions, stem cell expression profiles, cancer diagnostics, and immunotherapy efficacy and toxicity predictions. Lastly, we discuss exciting prospects for the future of single-cell Raman spectroscopy, including Raman instrumentation, self-driving laboratories, Raman data banks, and machine learning for uncovering biological insights.

doi.org/10.1021/acsn...

RamanSPy: An Open-Source Python Package for Integrative Raman Spectroscopy Data Analysis Raman spectroscopy is a nondestructive and label-free chemical analysis technique, which plays a key role in the analysis and discovery cycle of various branches of science. Nonetheless, progress in Raman spectroscopic analysis is still impeded by the lack of software, methodological and data standardization, and the ensuing fragmentation and lack of reproducibility of analysis workflows thereof. To address these issues, we introduce RamanSPy, an open-source Python package for Raman spectroscopic research and analysis. RamanSPy provides a comprehensive library of tools for spectroscopic analysis that supports day-to-day tasks, integrative analyses, the development of methods and protocols, and the integration of advanced data analytics. RamanSPy is modular and open source, not tied to a particular technology or data format, and can be readily interfaced with the burgeoning ecosystem for data science, statistical analysis, and machine learning in Python. RamanSPy is hosted at https://github.com/barahona-research-group/RamanSPy, supplemented with extended online documentation, available at https://ramanspy.readthedocs.io, that includes tutorials, example applications, and details about the real-world research applications presented in this paper.

pubs.acs.org/doi/10.1021/...

Raman ConvMSANet: A High-Accuracy Neural Network for Raman Spectroscopy Blood and Semen Identification Animal blood and semen analysis plays a significant role in national biological resource management, wildlife conservation, and customs security quarantine. Traditional blood analysis methods have dis...

Today we bring AI and ML applications with Raman spectroscopy.

pubs.acs.org/doi/10.1021/...

Graphene edge method for three‐dimensional probing of Raman microscopes focal volumes A novel method for the accurate measurement of the dimensions of the focal volumes of Raman microscopes, using the edge of a graphene flake, was devised. In this work, it is explained in detail and a...

Translating graphene to determine the confocal volume in a confocal Raman setup !

doi.org/10.1002/jrs....

When cells divide: Label-free multimodal spectral imaging for exploratory molecular investigation of living cells during cytokinesis - Scientific Reports Scientific Reports - When cells divide: Label-free multimodal spectral imaging for exploratory molecular investigation of living cells during cytokinesis

Living cells studied with focus on cell cycle utilizing Raman spectroscopy. A case of S. pombe

doi.org/10.1038/srep...

Probing the Nature of Defects in Graphene by Raman Spectroscopy Raman spectroscopy is able to probe disorder in graphene through defect-activated peaks. It is of great interest to link these features to the nature of disorder. Here we present a detailed analysis o...

Adding few more papers here : doi.org/10.1021/nl30...

Probing the Nature of Defects in Graphene by Raman Spectroscopy Raman spectroscopy is able to probe disorder in graphene through defect-activated peaks. It is of great interest to link these features to the nature of disorder. Here we present a detailed analysis o...

doi.org/10.1021/nl30...

Probing the Nature of Defects in Graphene by Raman Spectroscopy Raman spectroscopy is able to probe disorder in graphene through defect-activated peaks. It is of great interest to link these features to the nature of disorder. Here we present a detailed analysis o...

doi.org/10.1021/nl30...

Raman spectroscopy as a versatile tool for studying the properties of graphene - Nature Nanotechnology Advances in the understanding of Raman processes in graphene have made it an essential tool for studying the properties of this one-atom-thick carbon material.

Graphene which has many applications is well characterized using Raman spectroscopy. Check out these papers.

doi.org/10.1038/nnan...

Two-Dimensional Correlation Spectroscopy: Principle and Recent Theoretical Development Abstract. This review paper aims at examining the recent developments in optical two-dimensional (2D) correlation spectroscopy. Particular emphasis is put

doi.org/10.1246/bcsj...

Today we are highlighting 2D correlation methods for Raman and IR data analysis.

Article on 2D correlation by Prof. Noda doi.org/10.1366/0003...

And advancements:

doi.org/10.1177/0003...

Active Surface-Enhanced Raman Spectroscopy (SERS): A Novel Concept for Enhancing Signal Contrast in Complex Matrices Using External Perturbation.
Applied Spectroscopy. 2025;79(2):320-327.
doi.org/10.1177/0003...
#ramaneffect #sersraman #openaccess

Raman structural markers of tryptophan and histidine side chains in proteins The Raman spectrum of a protein contains a wealth of information on the structure and interaction of the protein. To extract the structural information from the Raman spectrum, it is necessary to ide...

Notable mentions :
doi.org/10.1002/bip....

Raman Spectroscopy of Proteins The sections in this article are

Protein and their confirmations are being studied in great detail using Raman spectroscopy and its associated techniques.

Follow these excellent review papers : doi.org/10.1002/0470... and doi.org/10.1002/jrs....

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Raman spectroscopy of lipids: a review A comprehensive study of 35 naturally occurring lipids measured by Raman spectroscopy is presented. Additionally, we investigated the polymorphism/polytypism of triacylglycerols and analyzed the degr....

Working with lipids, living cells or food metarials via Raman spectroscopy. Check out this excellent review on lipids:

doi.org/10.1002/jrs....

From today we will be posting on important breakthroughs in Raman spectroscopy and its applications.

Follow us for continued insights and processes in vibrational, ro-vibrational spectroscopy, surface-enhanced techniques under Raman !