ArticleScientific reports2021
Non-invasive cell classification using the Paint Raman Express Spectroscopy System (PRESS).
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Shining a light on brain tumors: a review of Raman spectroscopy in the operating room.Journal of biomedical optics · 2026Review
- Research progress, translation-related challenges, and clinical prospects of surface-enhanced Raman spectroscopy in respiratory virus detection: a narrative review.Journal of thoracic disease · 2026Review
- Dynamic, single-cell monitoring of CAR T cell identity and activation with Raman spectroscopy.bioRxiv : the preprint server for biology · 2026Article
- Perspectives on label-free microscopy of heterogeneous and dynamic biological systems.Journal of biomedical optics · 2025Article
- Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins.Scientific reports · 2025Article
- Raman spectroscopic deep learning with signal aggregated representations for enhanced cell phenotype and signature identification.PNAS nexus · 2024Article
- Label-Free Assessment of Neuronal Activity Using Raman Micro-Spectroscopy.Molecules (Basel, Switzerland) · 2024Article
- Practices, Potential, and Perspectives for Detecting Predisease Using Raman Spectroscopy.International journal of molecular sciences · 2023Review
- The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine.Chemical reviews · 2023Review
- Understanding radiation response and cell cycle variation in brain tumour cells using Raman spectroscopy.The Analyst · 2023Article
- Microscopic image-based classification of adipocyte differentiation by machine learning.Histochemistry and cell biology · 2023Article
- Non-invasive monitoring of T cell differentiation through Raman spectroscopy.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Raman scattering represents the distribution and abundance of intracellular molecules, including proteins and lipids, facilitating distinction between cellular states non-invasively and without staining. However, the scattered light obtained from cells is faint and cells have complex structures, making it difficult to obtain a Raman spectrum covering the entire cell in a short time using conventional methods. This also prevents efficient label-free cell classification. In the present study, we developed the Paint Raman Express Spectroscopy System, which uses two fast-rotating galvano mirrors to obtain spectra from a wide area of a cell. By using this system and applying machine learning, we were able to acquire broad spectra of a variety of human and mouse cell types, including pluripotent stem cells and confirmed that each cell type can be classified with high accuracy. Moreover, we classified different activation states of human T cells, despite their similar morphology. This system could be used for rapid and low-cost drug evaluation and quality management for drug screening in cell-based assays.
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