ArticleBiomicrofluidics2018
Statistics for real-time deformability cytometry: Clustering, dimensionality reduction, and significance testing.
Article in Biomicrofluidics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed.
- Mechanically Programmable DNA Hydrogel Microparticles for 3D Cellular Systems.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- High-throughput mechanomic screening reveals novel regulators of single-cell mechanics.Biophysical journal · 2026Article
- Mechanical Phenotyping of MG63s Following Vibrational Stimulation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Single-Cell Morphomechanics of Prostate Cancer-Associated Fibroblasts Identifies Distinct Features Associated with Patient Outcome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Trajectories of Physical Disabilities Over 6 Months in Patients With Long COVID.Physical therapy · 2025Article
- Article
- DNA microbeads for spatio-temporally controlled morphogen release within organoids.Nature nanotechnology · 2024Article
- Mechano-regulation by clathrin pit-formation and passive cholesterol-dependent tubules during de-adhesion.Cellular and molecular life sciences : CMLS · 2024Article
- Mechanical characterization of isolated mitochondria under conditions of oxidative stress.Biomicrofluidics · 2022Article
- Effects of vimentin on the migration, search efficiency, and mechanical resilience of dendritic cells.Biophysical journal · 2022Article
- Early tension regulation coupled to surface myomerger is necessary for the primary fusion of C2C12 myoblasts.Frontiers in physiology · 2022Article
- The impact of cell culture media on the interaction of biopolymer-functionalized gold nanoparticles with cells: mechanical and toxicological properties.Scientific reports · 2022Article
- Cytoskeletal vimentin regulates cell size and autophagy through mTORC1 signaling.PLoS biology · 2022Article
- Interpretation of cell mechanical experiments in microfluidic systems depend on the choice of cellular shape descriptors.Biomicrofluidics · 2022Article
- Machine learning assisted real-time deformability cytometry of CD34+ cells allows to identify patients with myelodysplastic syndromes.Scientific reports · 2022Article
- Changes in Blood Cell Deformability in Chorea-Acanthocytosis and Effects of Treatment With Dasatinib or Lithium.Frontiers in physiology · 2022Article
- Mobilization of CD11bFrontiers in immunology · 2022Article
- Physical phenotype of blood cells is altered in COVID-19.Biophysical journal · 2021Article
- Cancer-associated fibroblasts of the prostate promote a compliant and more invasive phenotype in benign prostate epithelial cells.Materials today. Bio · 2020Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real-time deformability (RT-DC) is a method for high-throughput mechanical and morphological phenotyping of cells in suspension. While analysis rates exceeding 1000 cells per second allow for a label-free characterization of complex biological samples, e.g., whole blood, data evaluation has so far been limited to a few geometrical and material parameters such as cell size, deformation, and elastic Young's modulus. But as a microscopy-based technology, RT-DC actually generates and yields multidimensional datasets that require automated and unbiased tools to obtain morphological and rheological cell information. Here, we present a statistical framework to shed light on this complex parameter space and to extract quantitative results under various experimental conditions. As model systems, we apply cell lines as well as primary cells and highlight more than 11 parameters that can be obtained from RT-DC data. These parameters are used to identify sub-populations in heterogeneous samples using Gaussian mixture models, to perform a dimensionality reduction using principal component analysis, and to quantify the statistical significance applying linear mixed models to datasets of multiple replicates.
Identifiers
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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.