ReviewNature protocols2020
Tutorial: multivariate classification for vibrational spectroscopy in biological samples.
Review in Nature protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.
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Who cites it
96 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive Performance of Raman Spectroscopy in Osteoarthritis: A Systematic Review.Journal of medical systems · 2025Pooled it
- Loss-Engineered Terahertz Pixelated Metasensors for Enhanced Molecular Vibrational Fingerprint Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Assessing Acrylic Inks: A Study of Colorants and Lightfastness.ACS omega · 2026Article
- Limits and benefits of unsupervised transfer learning for Raman spectroscopy-based bioprocess monitoring.Bioprocess and biosystems engineering · 2026Article
- Detection of Terbufos (Organophosphate) Intoxication in Necrophagous Larvae Using Biospectroscopy (ATR-FTIR) with Multivariate Selection Algorithms.Neotropical entomology · 2026Article
- Second-Order Chemometric Classification ofACS omega · 2026Article
- Shedding Light on the Past: Temporal Classification of Zoological Specimens from Museum Collections with Portable NIR Sensors and Multivariate Error Modeling.Analytical chemistry · 2026Article
- In vivo Raman spectroscopy for real-time biochemical assessment of tissue pathology and physiology.Nature protocols · 2026Review
- Adult Rat Offspring Exposed to THC during Gestation Exhibit Distinct Biomolecular Changes Identified by X-ray Fluorescence Imaging and Fourier Transform Infrared Spectroscopy in Cortico-Limbic Circuits.ACS chemical neuroscience · 2026Article
- Developing an Integrated Toolbox for Raman Spectral Analysis with Both Artificial Neural Networks and Machine Learning Algorithms.Molecules (Basel, Switzerland) · 2026Article
- Combined Biospectroscopy with Multivariate Analysis for the Differential Diagnosis of Leptospirosis Disease: A Pilot Study.ACS omega · 2026Article
- Article
- Analyzing Spectral Similarities for Structural Identification Using a New Benchmark Database.The journal of physical chemistry. A · 2026Article
- Article
- Assessment of the effectiveness of serum-infrared spectroscopy in conjunction with multivariate analysis methods for atherosclerosis diagnosis.Scientific reports · 2026Article
- Infrared Spectroscopy as a Promising Tool for Diagnosing and Typing Human Pathogenic Fungi.Mycoses · 2026Review
- Differentiation ofFrontiers in microbiology · 2026Article
- Detection of Premalignant Cervical Lesions viaBiosensors · 2025Article
- Nuclear magnetic resonance combined with genetic algorithm with linear discriminant analysis (GA-LDA) is a suitable model for discriminating urinary metabolomic profiles of individuals with glycemic disorders.Annals of medicine · 2025Article
- Artificial intelligence guided Raman spectroscopy in biomedicine: Applications and prospects.Journal of pharmaceutical analysis · 2025Review
36 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vibrational spectroscopy techniques, such as Fourier-transform infrared (FTIR) and Raman spectroscopy, have been successful methods for studying the interaction of light with biological materials and facilitating novel cell biology analysis. Spectrochemical analysis is very attractive in disease screening and diagnosis, microbiological studies and forensic and environmental investigations because of its low cost, minimal sample preparation, non-destructive nature and substantially accurate results. However, there is now an urgent need for multivariate classification protocols allowing one to analyze biologically derived spectrochemical data to obtain accurate and reliable results. Multivariate classification comprises discriminant analysis and class-modeling techniques where multiple spectral variables are analyzed in conjunction to distinguish and assign unknown samples to pre-defined groups. The requirement for such protocols is demonstrated by the fact that applications of deep-learning algorithms of complex datasets are being increasingly recognized as critical for extracting important information and visualizing it in a readily interpretable form. Hereby, we have provided a tutorial for multivariate classification analysis of vibrational spectroscopy data (FTIR, Raman and near-IR) highlighting a series of critical steps, such as preprocessing, data selection, feature extraction, classification and model validation. This is an essential aspect toward the construction of a practical spectrochemical analysis model for biological analysis in real-world applications, where fast, accurate and reliable classification models are fundamental.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.