ArticleScientific reports2017
High accuracy label-free classification of single-cell kinetic states from holographic cytometry of human melanoma cells.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Multi-Modal Kinome Profiling Discovers Mesenchymal-Like Polarity Networks that Underly Directed Hepatocellular Carcinoma Cell Migration.bioRxiv : the preprint server for biology · 2026Article
- A BRN2:MYC transcriptional axis regulates interconversion between therapy-resistant and tumorigenic phenotypes in melanoma.Cell reports · 2025Article
- Label-Free Cancer Detection Methods Based on Biophysical Cell Phenotypes.Bioengineering (Basel, Switzerland) · 2025Review
- Quantitative phase imaging based on holography: trends and new perspectives.Light, science & applications · 2024Review
- Real-time simultaneous refractive index and thickness mapping of sub-cellular biology at the diffraction limit.Communications biology · 2024Article
- COVID-19 screening with digital holographic microscopy using intra-patient probability functions of spatio-temporal bio-optical attributes.Biomedical optics express · 2022Article
- Review
- AutoCellANLS: An Automated Analysis System for Mycobacteria-Infected Cells Based on Unstained Micrograph.Biomolecules · 2022Article
- Probing transient memory of cellular states using single-cell lineages.Frontiers in microbiology · 2022Review
- Viscoelasticity, Like Forces, Plays a Role in Mechanotransduction.Frontiers in cell and developmental biology · 2022Review
- Single Cell Technologies to Dissect Heterogenous Immune Cell Therapy Products.Current opinion in biomedical engineering · 2021Article
- BRAFeLife · 2021Article
- Practical application of microsphere samples for benchmarking a quantitative phase imaging system.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021Article
- Holotomography: Refractive Index as an Intrinsic Imaging Contrast for 3-D Label-Free Live Cell Imaging.Advances in experimental medicine and biology · 2021Article
- Morphology, Motility, and Cytoskeletal Architecture of Breast Cancer Cells Depend on Keratin 19 and Substrate.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020Article
- Automated interpretation of time-lapse quantitative phase image by machine learning to study cellular dynamics during epithelial-mesenchymal transition.Journal of biomedical optics · 2020Article
- Deep learning-based cell identification and disease diagnosis using spatio-temporal cellular dynamics in compact digital holographic microscopy.Biomedical optics express · 2020Article
- Cell viscoelasticity is linked to fluctuations in cell biomass distributions.Scientific reports · 2020Article
- Quantitative phase imaging of adherent mammalian cells: a comparative study.Biomedical optics express · 2019Article
- Label-Free High-Throughput Leukemia Detection by Holographic Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2018Article
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4 authors.
Funding
Abstract
Digital holographic cytometry (DHC) permits label-free visualization of adherent cells. Dozens of cellular features can be derived from segmentation of hologram-derived images. However, the accuracy of single cell classification by these features remains limited for most applications, and lack of standardization metrics has hindered independent experimental comparison and validation. Here we identify twenty-six DHC-derived features that provide biologically independent information across a variety of mammalian cell state transitions. When trained on these features, machine-learning algorithms achieve blind single cell classification with up to 95% accuracy. Using classification accuracy to guide platform optimization, we develop methods to standardize holograms for the purpose of kinetic single cell cytometry. Applying our approach to human melanoma cells treated with a panel of cancer therapeutics, we track dynamic changes in cellular behavior and cell state over time. We provide the methods and computational tools for optimizing DHC for kinetic single adherent cell classification.
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