ReviewComputational and structural biotechnology journal2020
Data mining in Raman imaging in a cellular biological system.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Identification of Spectral Fingerprints in Different Batches of Antimalarial Herbal Drugs Using Laser-Induced Autofluorescence and Chemometric Techniques.Journal of fluorescence · 2025Article
- Confocal Raman microspectroscopy for spatially resolved tissue characterisation of disease-linked spectra-pathological signatures.Clinical and translational medicine · 2025Review
- Chemical imaging for biological systems: techniques, AI-driven processing, and applications.Journal of materials chemistry. B · 2025Review
- Identifying the Molecular Fingerprint of Beta-Lactams via Raman/SERS Spectroscopy Using Unconventional Nanoparticles for Antimicrobial Stewardship.Antibiotics (Basel, Switzerland) · 2024Article
- Article
- Raman Fingerprints of SARS-CoV-2 Omicron Subvariants: Molecular Roots of Virological Characteristics and Evolutionary Directions.ACS infectious diseases · 2023Article
- Influence of Yokukansan on the refractive index of neuroblastoma cells.Biomedical optics express · 2023Article
- Decoding the metabolic response ofProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Correlative Fluorescence and Raman Microscopy to Define Mitotic Stages at the Single-Cell Level: Opportunities and Limitations in the AI Era.Biosensors · 2023Review
- Discovering Glioma Tissue through Its Biomarkers' Detection in Blood by Raman Spectroscopy and Machine Learning.Pharmaceutics · 2023Article
- Building an ensemble learning model for gastric cancer cell line classification via rapid raman spectroscopy.Computational and structural biotechnology journal · 2023Article
- Strategies and Progress of Raman Technologies for Cellular Uptake Analysis of the Drug Delivery Systems.International journal of nanomedicine · 2023Review
- Raman Metabolomics ofInternational journal of molecular sciences · 2022Article
- Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification.Digital Chemical Engineering · 2022Article
- Label-Free Differentiation of Cancer and Non-Cancer Cells Based on Machine-Learning-Algorithm-Assisted Fast Raman Imaging.Biosensors · 2022Article
- Multimodal bioimaging using nanodiamond and gold hybrid nanoparticles.Scientific reports · 2022Article
- Looking for a perfect match: multimodal combinations of Raman spectroscopy for biomedical applications.Journal of biomedical optics · 2021Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The distribution and dynamics of biomolecules in the cell is of critical interest in biological research. Raman imaging techniques have expanded our knowledge of cellular biological systems significantly. The technological developments that have led to the optimization of Raman instrumentation have helped to improve the speed of the measurement and the sensitivity. As well as instrumental developments, data mining plays a significant role in revealing the complicated chemical information contained within the spectral data. A number of data mining methods have been applied to extract the spectral information and translate them into biological information. Single-cell visualization, cell classification and biomolecular/drug quantification have all been achieved by the application of data mining to Raman imaging data. Herein we summarize the framework for Raman imaging data analysis, which involves preprocessing, pattern recognition and validation. There are multiple methods developed for each stage of analysis. The characteristics of these methods are described in relation to their application in Raman imaging of the cell. Furthermore, we summarize the software that can facilitate the implementation of these methods. Through its careful selection and application, data mining can act as an essential tool in the exploration of information-rich Raman spectral data.
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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.