ArticleAnalytical chemistry2024
High-Resolution Raman Imaging of >300 Patient-Derived Cells from Nine Different Leukemia Subtypes: A Global Clustering Approach.
Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- From spectroscopic analysis to clinical imaging: emerging applications and persistent challenges of raman spectroscopy in CTCs-based liquid biopsies.Annals of medicine · 2026Review
- A targeted metabolic intervention via exercise applied after vaccination shapes kinetics and durability of serum antibody accompanied by a distinct immunometabolic signature: pilot study.Brain, behavior, & immunity - health · 2026Article
- Combined SERS and chemometric analyses of blood plasma and bone marrow towards pediatric leukemia biomarkers detection.Mikrochimica acta · 2026Article
- Raman Spectroscopy for Probing Pathological Protein Aggregates: Potential and Perspectives for Advanced Diagnostic Applications.International journal of molecular sciences · 2026Review
- Single cell Raman spectroscopic profiles predict treatment responses in patients withFrontiers in cell and developmental biology · 2026Article
- Artificial Intelligence-Powered Raman Spectroscopy through Open Science and FAIR Principles.ACS nano · 2025Review
- Unveiling the Invisible: Multiscale Molecular Insights through Raman Imaging.Chemical & biomedical imaging · 2025Article
- Exploring Biochemical Characteristics of Pediatric Hyperdiploid Acute Lymphoblastic Leukemia by Raman Spectroscopy.Analytical chemistry · 2025Article
- High-content stimulated Raman pathology imaging and transcriptomics reveal leukemia subtype-specific lipid metabolic heterogeneity.Frontiers in immunology · 2025Article
- Raman spectroscopy on dried blood plasma allows diagnosis and monitoring of colorectal cancer.MedComm · 2024Article
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Authors and funding
14 authors.
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Abstract
Leukemia comprises a diverse group of bone marrow tumors marked by cell proliferation. Current diagnosis involves identifying leukemia subtypes through visual assessment of blood and bone marrow smears, a subjective and time-consuming method. Our study introduces the characterization of different leukemia subtypes using a global clustering approach of Raman hyperspectral maps of cells. We analyzed bone marrow samples from 19 patients, each presenting one of nine distinct leukemia subtypes, by conducting high spatial resolution Raman imaging on 319 cells, generating over 1.3 million spectra in total. An automated preprocessing pipeline followed by a single-step global clustering approach performed over the entire data set identified relevant cellular components (cytoplasm, nucleus, carotenoids, myeloperoxidase (MPO), and hemoglobin (HB)) enabling the unsupervised creation of high-quality pseudostained images at the single-cell level. Furthermore, this approach provided a semiquantitative analysis of cellular component distribution, and multivariate analysis of clustering results revealed the potential of Raman imaging in leukemia research, highlighting both advantages and challenges associated with global clustering.
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