ArticleNature protocols2021
Raman spectral cytopathology for cancer diagnostic applications.
Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Metabolomics and metabolites in cancer diagnosis and treatment.Molecular biomedicine · 2025Pooled it
- Diagnostic accuracy of Raman spectroscopy in oral squamous cell carcinoma.Frontiers in oncology · 2022Pooled it
- Rice straw sample preparation protocol for cell wall major constituent analysis via Raman spectroscopy.STAR protocols · 2026Article
- Deep learning-enabled single-cell morpholomic atlas of nasal swabs distinguishes chronic inflammation from sinonasal malignancy.NPJ precision oncology · 2026Article
- Non-invasive Imaging Techniques: From Histology to In-vivo Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026Review
- Recent advances in Raman probes for multiplexed bioimaging.Inflammation and regeneration · 2025Review
- Raman micro-spectroscopy reveals the metabolic alterations in primary prostate tumor tissues of patients with metastases.Journal of translational medicine · 2025Article
- GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment.International journal of oral science · 2025Article
- Illuminating extracellular nanovesicles through the spectroscopic lens: a mini review of cutting-edge insights and emerging applications.Frontiers in bioengineering and biotechnology · 2025Review
- MRI-based habitat analysis of vascular and nerve invasion in the tumor microenvironment: an advanced approach for prostate cancer diagnosis.Frontiers in oncology · 2025Article
- Surface Acoustic Wave-Enhanced Multi-View Acoustofluidic Rotation Cytometry (MARC) for Pre-Cytopathological Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Precise Identification of Glioblastoma Micro-Infiltration at Cellular Resolution by Raman Spectroscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Raman spectroscopic deep learning with signal aggregated representations for enhanced cell phenotype and signature identification.PNAS nexus · 2024Article
- Label-Free Surface-Enhanced Raman Spectroscopy with Machine Learning for the Diagnosis of Thyroid Cancer by Using Fine-Needle Aspiration Liquid Samples.Biosensors · 2024Article
- Accurate categorization and rapid pathological diagnosis correction with Micro-Raman technique in human lung adenocarcinoma infiltration level.Translational lung cancer research · 2024Article
- Intraoperative rapid assessment of the deep muscle surgical margin of tongue squamous cell carcinoma via Raman spectroscopy.Frontiers in bioengineering and biotechnology · 2024Article
- Combining electromyography and Raman spectroscopy: optical EMG.Muscle & nerve · 2023Article
- Accurate and Rapid Detection of Peritoneal Metastasis from Gastric Cancer by AI-Assisted Stimulated Raman Molecular Cytology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Limits and Prospects of Molecular Fingerprinting for Phenotyping Biological Systems Revealed throughAnalytical chemistry · 2023Article
- Molecular breast cancer subtype identification using photoacoustic spectral analysis and machine learning at the biomacromolecular level.Photoacoustics · 2023Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Raman spectroscopy can provide a rapid, label-free, nondestructive measurement of the chemical fingerprint of a sample and has shown potential for cancer screening and diagnosis. Here we report a protocol for Raman microspectroscopic analysis of different exfoliative cytology samples (cervical, oral and lung), covering sample preparation, spectral acquisition, preprocessing and data analysis. The protocol takes 2 h 20 min for sample preparation, measurement and data preprocessing and up to 8 h for a complete analysis. A key feature of the protocol is that it uses the same sample preparation procedure as commonly used in diagnostic cytology laboratories (i.e., liquid-based cytology on glass slides), ensuring compatibility with clinical workflows. Our protocol also covers methods to correct for the spectral contribution of glass and sample pretreatment methods to remove contaminants (such as blood and mucus) that can obscure spectral features in the exfoliated cells and lead to variability. The protocol establishes a standardized clinical routine allowing the collection of highly reproducible data for Raman spectral cytopathology for cancer diagnostic applications for cervical and lung cancer and for monitoring suspicious lesions for oral cancer.
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