ArticleOptica2017
Stimulated Raman scattering flow cytometry for label-free single-particle analysis.
Article in Optica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- RamEx: an R package for high-throughput microbial ramanome analyses with accurate quality assessment.Microbiome · 2026Article
- Stimulated Raman Scattering Imaging Enabled Biomarker Discovery for Precision Medicine.Chemical & biomedical imaging · 2025Review
- Quantification of small (1-10 µm) microplastic particles in soil matrices using automated scanning electron microscopy: possibilities and limitations.Analytical and bioanalytical chemistry · 2025Article
- Deuterium-oxide-assisted stimulated Raman scattering microscopy: metabolic imaging for precision medicine.Biophotonics discovery · 2025Review
- High-Specificity Spatiotemporal Cholesterol Detection by Quadrature Phase-Shifted Polarization Stimulated Raman Imaging.Angewandte Chemie (International ed. in English) · 2025Article
- Spatially and Chemically Specific Optical Control of Cells via Supervised and Automated Target Selection.ACS photonics · 2025Article
- Photon-counting Raman spectroscopy at a MHz spectral rate for biochemical imaging of an entire organism.Nature communications · 2025Article
- Flow Raman Spectroscopy for the Detection and Identification of Small Microplastics.Sensors (Basel, Switzerland) · 2025Article
- High-throughput single-cell sorting by stimulated Raman-activated cell ejection.Science advances · 2024Article
- Multi-Parameter Analysis of Nanoplastics in Flow: Taking Advantage of High Sensitivity and Time Resolution Enabled by Stimulated Raman Scattering.Analytical chemistry · 2024Article
- Raman Flow Cytometry and Its Biomedical Applications.Biosensors · 2024Review
- Raman cell sorting for single-cell research.Frontiers in bioengineering and biotechnology · 2024Review
- High-throughput single-cell sorting by stimulated Raman-activated cell ejection.bioRxiv : the preprint server for biology · 2023Article
- Machine learning implementation strategy in imaging and impedance flow cytometry.Biomicrofluidics · 2023Review
- Coherent Raman scattering microscopy of lipid droplets in cells and tissues.Journal of Raman spectroscopy : JRS · 2023Article
- Profiling single cancer cell metabolism via high-content SRS imaging with chemical sparsity.Science advances · 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
- Robust Spontaneous Raman Flow Cytometry for Single-Cell Metabolic Phenome Profiling via pDEP-DLD-RFC.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- The marriage of coherent Raman scattering imaging and advanced computational tools.Light, science & applications · 2023Article
- Toward the Next Frontiers of Vibrational Bioimaging.Chemical & biomedical imaging · 2023Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Flow cytometry is one of the most important technologies for high-throughput single-cell analysis. Fluorescent labeling acts as the primary approach for cellular analysis in flow cytometry. Nevertheless, the fluorescent tags are not applicable to all cases, especially to small molecules, for which labeling may significantly perturb the biological functionality. Spontaneous Raman scattering flow cytometry offers the capability to non-invasively detect chemical contents of cells but suffers from slow data acquisition. In order to achieve label-free high-throughput single-particle analysis using Raman scattering, we developed a 32-channel multiplex stimulated Raman scattering flow cytometry (SRS-FC) technique that can measure chemical contents of single particles at a speed of 5 μs per Raman spectrum. Using mixed polymer beads, we demonstrate the discrimination of different particles at a throughput of up to 11,000 particles per second. This is a four orders of magnitude improvement in throughput compared to conventional spontaneous Raman flow cytometry. As a proof of concept, we show the differentiation of 3T3-L1 cells at different states by SRS-FC according to the difference in cellular chemical content. The SRS-FC technique opens new opportunities for high-throughput and high-content chemical analysis of live cells in a label-free manner.
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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.