ArticleScientific reports2018
Raman micro-spectroscopy for accurate identification of primary human bronchial epithelial cells.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Visibility-Graph Analysis of Raman Spectra in Chalazion and Lipid Dysregulation: An Exploratory Study.Entropy (Basel, Switzerland) · 2026Article
- Lipid Droplets as Cellular Sensors of Lipid Metabolic Reprogramming in Colon Cancer: Insights from Essential Amino Acid Supplementation Using Raman Spectroscopy and Imaging.Molecules (Basel, Switzerland) · 2026Article
- Article
- Cell Observation and Analysis with a Three-Dimensional Optical Wave Field Microscope.Biosensors · 2025Article
- The Raman Map of the Human Cell.Analytical chemistry · 2025Article
- Surface-Enhanced Raman Spectroscopy on Gold Nanoparticle for Sperm Quality Discrimination.Molecules (Basel, Switzerland) · 2025Article
- Sensing Biomolecules Associated with Cells' Radiosusceptibility by Advanced Micro- and Nanospectroscopy Techniques.ACS sensors · 2024Article
- Raman micro-spectroscopy reveals the spatial distribution of fumarate in cells and tissues.Nature communications · 2024Article
- Biochemical component analysis of human myopic corneal stroma using the Raman spectrum.International ophthalmology · 2024Article
- Surface-enhanced Raman Spectroscopy in urinalysis of hypertension patients with kidney disease.Scientific reports · 2024Article
- Window into the mind: Advanced handheld spectroscopic eye-safe technology for point-of-care neurodiagnostic.Science advances · 2023Article
- Assessment of Primary Human Liver Cancer Cells by Artificial Intelligence-Assisted Raman Spectroscopy.Cells · 2023Article
- Coherent Raman scattering microscopy of lipid droplets in cells and tissues.Journal of Raman spectroscopy : JRS · 2023Article
- Subsecond lung cancer detection within a heterogeneous background of normal and benign tissue using single-point Raman spectroscopy.Journal of biomedical optics · 2023Article
- Non-destructive classification of unlabeled cells: Combining an automated benchtop magnetic resonance scanner and artificial intelligence.PLoS computational biology · 2023Article
- In-Capillary Photodeposition of Glyphosate-Containing Polyacrylamide Nanometer-Thick Films.ACS applied polymer materials · 2023Article
- Review: Emerging Eye-Based Diagnostic Technologies for Traumatic Brain Injury.IEEE reviews in biomedical engineering · 2023Review
- Machine Learning Assisted Real-Time Label-Free SERS Diagnoses of Malignant Pleural Effusion due to Lung Cancer.Biosensors · 2022Article
- Machine Learning Assisted Handheld Confocal Raman Micro-Spectroscopy for Identification of Clinically Relevant Atopic Eczema Biomarkers.Sensors (Basel, Switzerland) · 2022Article
- A Single-Cell Raman Spectroscopy Analysis of Bone Marrow Mesenchymal Stem/Stromal Cells to Identify Inter-Individual Diversity.International journal of molecular sciences · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
Live cell Raman micro-spectroscopy is emerging as a promising bioanalytical technique for label-free discrimination of a range of different cell types (e.g. cancer cells and fibroblasts) and behaviors (e.g. apoptosis). The aim of this study was to determine whether confocal Raman micro-spectroscopy shows sufficient sensitivity and specificity for identification of primary human bronchial epithelial cells (HBECs) to be used for live cell biological studies in vitro. We first compared cell preparation substrates and media, considering their influence on lung cell proliferation and Raman spectra, as well as methods for data acquisition, using different wavelengths (488 nm, 785 nm) and scan protocols (line, area). Evaluating these parameters using human lung cancer (A549) and fibroblast (MRC5) cell lines confirmed that line-scan data acquisition at 785 nm using complete cell media on a quartz substrate gave optimal performance. We then applied our protocol to acquisition of data from primary human bronchial epithelial cells (HBEC) derived from three independent sources, revealing an average sensitivity for different cell types of 96.3% and specificity of 95.2%. These results suggest that Raman micro-spectroscopy is suitable for delineating primary HBEC cell cultures, which in future could be used for identifying different lung cell types within co-cultures and studying the process of early carcinogenesis in lung cell culture.
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