Celebrated every February 28, National Science Day marks the historic discovery of the Raman Effect by Sir C.V. Raman and encourages scientific curiosity and innovation across India.
#NationalScienceDay #CVRaman #RamanEffect #ScienceInIndia #CurrentAffairs #Vidyakasam

This design is predominantly medium-dark blue with light blue sketches that reference various science disciplines, clustered in a circle around the words, “NATIONAL SCIENCE DAY FEBRUARY 28.” The design and artwork are by the Indonesian designer Sri Nur Handini, AKA “snhandini,” licensed via 123rf.

Why celebrate an #Indian #national #holiday if you’re not in #India? Because #science is universal! Special shout-out to Indian #physicist Sir Chandrashekhara Venkata Raman, who discovered the #RamanEffect (see the link) on Feb. 28, 1928!
en.wikipedia.org/wiki/Raman_s...

#CVRaman #birthday #RamanEffect #NationalScienceDay #draprabaharan #professor #researchdirector #PublicAction #harmony #SFH #KBI #RukmaniArunachalam

जाणून घेण्याची जिज्ञासा आणि करून पाहण्याची वृत्ती, हेच विज्ञानाचे मूळ आहे. आजच्या युगात विज्ञानामुळे अशक्य गोष्टी शक्य झाल्या आहेत.

#NationalScienceDay #ScienceDay2026 #VikasGraphics #RamanEffect #ScienceDay2026 #CVRaman #ScienceForIndia #vikasagawane #vikas

From Single Molecular Detail to Subcellular Dynamics: Real-Time Kinetics Study of dPA Uptake with Raman-based Spectroscopy Real-time observation of cellular transformations at the subcellular level provides insight into the dynamic biochemical processes underlying cell function and disease. However, many challenges remain...

From Single Molecular Detail to Subcellular Dynamics: Real-Time Kinetics Study of dPA Uptake with Raman-based Spectroscopy.

bioRxiv 2025.11.21.689687
doi.org/10.1101/2025...

#preprint #ramaneffect #openaccess

Raman spectroscopy supported by machine learning reveals changes in balance of macromolecules in diabetic rat serum - Analytical and Bioanalytical Chemistry In type 2 diabetes mellitus (T2DM), changes in glucose and lipid levels in serum are the first signals of disease progression. In this article, Raman spectroscopy supported with machine learning (ML) ...

Raman spectroscopy supported by machine learning reveals changes in balance of macromolecules in diabetic rat serum.

Anal Bioanal Chem 417, 6655–6663 (2025). doi.org/10.1007/s002...

#ramaneffect #diabetes #openaccess

Redirecting

Lymphocytes in infectious mononucleosis analyzed by Raman microspectroscopy.
Journal of Molecular Structure
Volume 1352, Part 2, 15 February 2026, 144563
doi.org/10.1016/j.mo...

#ramaneffect

Review: Advances in synovial fluid analysis for the diagnosis of crystal arthropathies Synovial fluid analysis remains to be a critical aspect of the diagnosis of crystal arthropathies. The gold standard, compensated polarized light microscopy (CPLM), has significant shortcomings due t...

Review: Advances in synovial fluid analysis for the diagnosis of crystal arthropathies.
Arthritis Care Res. Accepted Author Manuscript. 2025
doi.org/10.1002/acr....

#review #ramaneffect

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 R...

RamanSPy: An Open-Source Python Package for Integrative Raman Spectroscopy Data Analysis.
Anal. Chem. 2024, 96, 21, 8492–8500
doi.org/10.1021/acs....

ramanspy.readthedocs.io

#ramaneffect #openaccess

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.

Posthandling Spectral Information Enhancement for Single Cell Raman Molecular Mapping Analysis.
Anal. Chem. 2025
doi.org/10.1021/acs....

#ramaneffect #openaccess

A point-of-care diagnostic for drug-induced liver injury using surface-enhanced Raman scattering lateral flow immunoassay - Nature Communications There is an unmet clinical need for a rapid point-of-care tests to identify patients at high-risk of developing acute liver failure following a paracetamol overdose. Here, authors assess a diagnostic test, consisting of a lateral flow immunoassay paired with a handheld Raman reader, in performance evaluation studies.

A point-of-care diagnostic for drug-induced liver injury using surface-enhanced Raman scattering lateral flow immunoassay.

Nat Commun 16, 6223 (2025).
doi.org/10.1038/s414...

#ramaneffect #liver #openaccess

Espectroscopia biofototérmica e óptica para o estudo de
Formulações farmacêuticas e materiais para odontologia.

Monique de Souza
www.pfi.uem.br/wp-content/u... in Portuguese

#infrared #photothermal #atrir #ramaneffect #openaccess

An Interlaboratory Study to Minimize Wavelength Calibration Uncertainty Due to Peak Fitting of Reference Material Spectra in Raman Spectroscopy — H2020 CHARISMA Authors: Dirk Lellinger, James Thomson, Nicolas Coca-Lopez, Afroditi Ntziouni, Nikolaos Nikoloudakis, María Fernández-Álvarez, Nina Jeliazkova, Miguel A Bañares,&n...

📢✨ CHARISMA’s latest publication explores how #peakfitting of reference material #spectra can enhance reproducibility and precision across labs.

📖 Read it here: h2020charisma.eu/publications...

#Ramanspectroscopy #Ramantechniques #ramaneffect

Deep learning algorithms and Raman spectroscopy in the clinical laboratory setting Raman spectroscopy is an important diagnostic method that extracts molecular-level information from biological specimens, with distinct potential for disease diagnoses. However, its clinical applic...

Deep learning algorithms and Raman spectroscopy in the clinical laboratory setting.
Critical Reviews in Clinical Laboratory Sciences, 1–29.
doi.org/10.1080/1040...
#review #ramaneffect #deeplearning #mlai

Exploring In Vitro Mesenchymal Stem Cell Osteodifferentiation via Vibrational Microspectroscopy: A Review - Stem Cell Reviews and Reports The application of vibrational microspectroscopy to the study of in vitro mesenchymal stem cells (MSC) osteogenic differentiation is a promising approach towards the understanding of the molecular pro...

Exploring In Vitro Mesenchymal Stem Cell Osteodifferentiation via Vibrational Microspectroscopy: A Review.
Stem Cell Rev and Rep (2025)
doi.org/10.1007/s120...
#infrared #ramaneffect #bone #review #openaccess

Morphomolecular Longitudinal Endoscopy of Carcinogenesis Current diagnostic approaches for head and neck cancer rely primarily on white-light endoscopy and tissue biopsy, providing only static, episodic assessments that fail to capture dynamic changes in tu...

Morphomolecular Longitudinal Endoscopy of Carcinogenesis.

bioRxiv 2025.08.15.665660
doi.org/10.1101/2025...

#preprint #ramaneffect #endoscopy #openaccess

Explainable AI-Based Feature Selection Approaches for Raman Spectroscopy.
Diagnostics 2025, 15(16), 2063; doi.org/10.3390/diag...
#ramaneffect #ai #openaccess

Noise Reduction in Nano‐Raman Spectroscopy Using Principal Component Analysis Comparison of the intensity map of the 1168 cm−1 peak obtained from tip-enhanced Raman spectroscopy measurements, before and after principal component analysis (PCA). The raw data (left) shows signif....

Noise Reduction in Nano-Raman Spectroscopy Using Principal Component Analysis.
Phys. Status Solidi B 2025, 2500291
doi.org/10.1002/pssb...
#ramaneffect #mva #openaccess

The Raman Map of the Human Cell

Anal. Chem. 2025
doi.org/10.1021/acs....

#ramaneffect #cells #openaccess

Spectral Region Optimization and Machine Learning-Based Nonlinear Spectral Analysis for Raman Detection of Cardiac Fibrosis Following Myocardial Infarction.
Int. J. Mol. Sci. 2025, 26(15), 7240;
doi.org/10.3390/ijms...

#ramaneffect #ml #heart #openaccess

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope Field cancerization (FC) refers to spatially distributed premalignant tissue changes that lead to the appearance of local malignancy, and its detection can improve cancer screening. In this work, we e...

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope.

Anal. Chem. 2025, 97, 24, 12642–12653
doi.org/10.1021/acs....

#ramaneffect #openaccess

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Raman spectroscopy techniques for medical applications: analysis of human blood components.

Diagnostic Biomedical Optics
Fundamentals and applications, chapter 5
iopscience.iop.org/book/edit/97...

#chapter #ramaneffect #blood

New Chemotherapeutic Approaches to Treatment of Mesenchymal Triple-Negative Breast Cancer-Sensitive and Resistant to Cisplatin: Assessment of Cellular Response by Vibrational Microspectroscopy Triple-negative breast cancer (TNBC) is the most aggressive type of breast tumor with the worst prognosis. New chemotherapeutic agents against TNBC are essential, aiming at a higher efficacy regarding...

New Chemotherapeutic Approaches to Treatment of Mesenchymal Triple-Negative Breast Cancer-Sensitive and Resistant to Cisplatin: Assessment of Cellular Response by Vibrational Microspectroscopy
Anal. Chem. 2025, 97, 27, 14709–14721
doi.org/10.1021/acs....
#infrared #ramaneffect

Monitoring the kinetic evolution of mesenchymal stem cell differentiation using Raman microspectroscopy Raman microspectroscopy (RMS) offers a powerful, non-destructive approach for in situ monitoring of dynamic biochemical processes within cells. However, the ability to reliably data-mine the spectrosc...

Monitoring the kinetic evolution of mesenchymal stem cell differentiation using Raman microspectroscopy.
Analyst, 2025, Advance Article
doi.org/10.1039/D4AN...
#ramaneffect #stemcells #openaccess

Raman spectroscopy in tandem with machine learning – based decision logic methods for characterization and detection of primary precancerous and cancerous cells Early cancer detection improves patient outcomes, but most Raman spectroscopy research has focused on discriminating between normal and malignant cells, ignoring the essential precancerous stage. This...

Raman spectroscopy in tandem with machine learning – based decision logic methods for characterization and detection of primary precancerous and cancerous cells.
Analyst, 2025, Advance Article
doi.org/10.1039/D5AN...
#ramaneffect #ml #cancer

A Novel Spectral Barcoding and Classification Approach for Complex Biological Samples Using Multiexcitation Raman Spectroscopy (MX-Raman) We report the development and application of a novel spectral barcoding approach that exploits our multiexcitation (MX) Raman spectroscopy-based methodology for improved label-free detection and class...

A Novel Spectral Barcoding and Classification Approach for Complex Biological Samples Using Multiexcitation Raman Spectroscopy (MX-Raman)
Anal. Chem. 2025, 97, 23, 12189–12197
doi.org/10.1021/acs....
#ramaneffect #openaccess

UQ eSpace The University of Queensland's institutional repository, UQ eSpace, aims to create global visibility and accessibility of UQ’s scholarly research.

Raman spectroscopy for diagnostic tissue assessment.

Andy Cui (2025) PhD Thesis,
School of Electrical Engineering and Computer Science, The University of Queensland.
doi.org/10.14264/384...
#thesis #openaccess #ramaneffect

Multivariate and Machine Learning-Derived Virtual Staining and Biochemical Quantification of Cancer Cells through Raman Hyperspectral Imaging Advances in virtual staining and spatial omics have revolutionized our ability to explore cellular architecture and molecular composition with unprecedented detail. Virtual staining techniques, which ...

Multivariate and Machine Learning-Derived Virtual Staining and Biochemical Quantification of Cancer Cells through Raman Hyperspectral Imaging
Anal. Chem. 2025
doi.org/10.1021/acs....
#ramaneffect #cancer #ml

Sage Journals: Discover world-class research Subscription and open access journals from Sage, the world's leading independent academic publisher.

Evaluating the Use of Fourier Transform Raman Spectroscopy for Pollen Chemical Characterization.

Applied Spectroscopy. 2025;0(0).
doi.org/10.1177/0003...

#ramaneffect

Laser wavelength selection in Raman spectroscopy Research in Raman spectroscopy continues to abound in a diverse range of application spaces and concurrently, components of Raman systems have become increasingly sophisticated. Laser wavelength choic...

Laser wavelength selection in Raman spectroscopy.

Analyst, 2025, Advance Article
doi.org/10.1039/D5AN...

#ramaneffect #openaccess