ArticleNature communications2023
Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.
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Who cites it
66 citing papers in PubMed.
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- Photonic biosensors based on nanoparticle superstructures: from data analysis to artificial intelligence (AI) detection.Fundamental research · 2026Review
- Protocol for cerebrospinal fluid analysis using enrichment-enhanced surface-enhanced Raman spectroscopy and transformer-enabled spectral classification.STAR protocols · 2026Article
- Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method With Tunable Primitives.Journal of the Royal Society of New Zealand · 2026Article
- Virtual histology imaging of lymph nodesCancer biology & medicine · 2026Observational
- Advanced imaging techniques for tumor intraoperative navigation imaging.Npj imaging · 2026Review
- Glyphosate-Induced Metabolic and Immune Modulation in Hepatoma Cells: Identification of Key Genes as Diagnostic and Therapeutic Targets Using an In Silico Systems Biology Approach.Journal of xenobiotics · 2026Article
- Raman Spectroscopic Signatures of Hepatic Carcinoma: Progress and Future Prospect.International journal of molecular sciences · 2026Review
- Semi-supervised deep learning for uterus and bladder segmentation on female pelvic floor magnetic resonance imaging with limited labeled data.American journal of obstetrics and gynecology · 2026Article
- Label-free molecular profiling of cancer using Raman spectroscopy: from fundamentals to clinical applications.Frontiers in oncology · 2026Review
- Raman and surface-enhanced Raman spectroscopy for intraoperative cancer diagnostics: sentinel lymph node biopsy, biomarkers and translational challenges.Frontiers in bioengineering and biotechnology · 2026Review
- Deep Learning-Powered Nanoplasmonic Biosensing Approach Enables Ultrasensitive Extracellular Vesicles Profiling for Cancer Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Machine-Learning-Enabled Raman Spectroscopy Refines Indocyanine Green Fluorescence Boundaries for Precise Glioblastoma Margin Delineation.Research (Washington, D.C.) · 2026Article
- Indole-3-propionic acid exacerbates cisplatin-induced chronic kidney disease through the AHR/NF-κB signaling pathway.iScience · 2025Article
- Emerging frontiers in SERS-integrated optical waveguides: advancing portable and ultra-sensitive detection for trace liquid analysis.Light, science & applications · 2025Review
- Integrating spatial and chemical information enhances differentiation of non-alcoholic steatohepatitis states in Raman imaging.Scientific reports · 2025Article
- Unsupervised Domain Adaptation with Raman Spectroscopy for Rapid Autoimmune Disease Diagnosis.Sensors (Basel, Switzerland) · 2025Article
- Physics-informed deep learning for plasmonic sensing of nanoscale protein dynamics in solution.Science advances · 2025Article
- Rapid and sensitive acute leukemia classification and diagnosis platform using deep learning-assisted SERS detection.Cell reports. Medicine · 2025Article
6 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biopsy is the recommended standard for pathological diagnosis of liver carcinoma. However, this method usually requires sectioning and staining, and well-trained pathologists to interpret tissue images. Here, we utilize Raman spectroscopy to study human hepatic tissue samples, developing and validating a workflow for in vitro and intraoperative pathological diagnosis of liver cancer. We distinguish carcinoma tissues from adjacent non-tumour tissues in a rapid, non-disruptive, and label-free manner by using Raman spectroscopy combined with deep learning, which is validated by tissue metabolomics. This technique allows for detailed pathological identification of the cancer tissues, including subtype, differentiation grade, and tumour stage. 2D/3D Raman images of unprocessed human tissue slices with submicrometric resolution are also acquired based on visualization of molecular composition, which could assist in tumour boundary recognition and clinicopathologic diagnosis. Lastly, the potential for a portable handheld Raman system is illustrated during surgery for real-time intraoperative human liver cancer diagnosis.
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