ArticleBiophysical journal2014
Automated identification of subcellular organelles by coherent anti-stokes Raman scattering.
Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Article
- Broadband CARS Hyperspectral Classification of Single Immune Cells.Journal of biophotonics · 2025Article
- Non-invasive monitoring of microbial triterpenoid production using nonlinear microscopy techniques.Frontiers in bioengineering and biotechnology · 2023Article
- CARS Imaging Advances Early Diagnosis of Cardiac Manifestation of Fabry Disease.International journal of molecular sciences · 2022Article
- Raman Research on Bleomycin-Induced DNA Strand Breaks and Repair Processes in Living Cells.International journal of molecular sciences · 2022Article
- Coherent anti-Stokes Raman scattering cell imaging and segmentation with unsupervised data analysis.Frontiers in cell and developmental biology · 2022Article
- The subcellular arrangement of alpha-synuclein proteoforms in the Parkinson's disease brain as revealed by multicolor STED microscopy.Acta neuropathologica · 2021Article
- Molecular contrast on phase-contrast microscope.Scientific reports · 2019Article
- Chemical fingerprinting of single glandular trichomes of Cannabis sativa by Coherent anti-Stokes Raman scattering (CARS) microscopy.BMC plant biology · 2018Article
- Raman micro-spectroscopy monitors acquired resistance to targeted cancer therapy at the cellular level.Scientific reports · 2018Article
- Raman Microspectroscopic Evidence for the Metabolism of a Tyrosine Kinase Inhibitor, Neratinib, in Cancer Cells.Angewandte Chemie (International ed. in English) · 2018Article
- A machine learning framework to analyze hyperspectral stimulated Raman scattering microscopy images of expressed human meibum.Journal of Raman spectroscopy : JRS · 2017Article
- Spatial and molecular resolution of diffuse malignant mesothelioma heterogeneity by integrating label-free FTIR imaging, laser capture microdissection and proteomics.Scientific reports · 2017Article
- Protein expression guided chemical profiling of living cells by the simultaneous observation of Raman scattering and anti-Stokes fluorescence emission.Scientific reports · 2017Article
- Fully automated registration of vibrational microspectroscopic images in histologically stained tissue sections.BMC bioinformatics · 2015Article
- In vitro prediction of the efficacy of molecularly targeted cancer therapy by Raman spectral imaging.Analytical and bioanalytical chemistry · 2015Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coherent anti-Stokes Raman scattering (CARS) is an emerging tool for label-free characterization of living cells. Here, unsupervised multivariate analysis of CARS datasets was used to visualize the subcellular compartments. In addition, a supervised learning algorithm based on the "random forest" ensemble learning method as a classifier, was trained with CARS spectra using immunofluorescence images as a reference. The supervised classifier was then used, to our knowledge for the first time, to automatically identify lipid droplets, nucleus, nucleoli, and endoplasmic reticulum in datasets that are not used for training. These four subcellular components were simultaneously and label-free monitored instead of using several fluorescent labels. These results open new avenues for label-free time-resolved investigation of subcellular components in different cells, especially cancer cells.
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