Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics.

Lab on a chip - 5 Jan 2021

Honrado Carlos, Bisegna Paolo, Swami Nathan S, Caselli Federica

Abstract excerpt

The biophysical analysis of single-cells by microfluidic impedance cytometry is emerging as a label-free and high-throughput means to stratify the heterogeneity of cellular systems based on their electrophysiology. Emerging applications range from fundamental life-science and drug assessment research to point-of-care diagnostics and precision medicine. Recently, novel chip designs and data analytic strategies are...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Electric Impedance
Share to Flow Cytometry
Share to Microfluidic Analytical Techniques

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Microfluidics

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 33331376
DOI: 10.1039/d0lc00840k
PMCID: PMC7909465

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics.PMID 33331376Read ↗

Biophysical phenotyping of single-cell based on impedance and application for individualized precision medicine.Semantic proximity Read ↗

Single-Cell Microwave Cytometry for Drug Resistance Detection in CancerSemantic proximity Read ↗

Dielectrophoretic enrichment of live chemo-resistant circulating-like pancreatic cancer cells from media of drug-treated adherent cultures of solid tumorsSemantic proximity Read ↗

Quantifying mechanical opacity as a novel indicator for single-cell phenotyping via integrated dynamic mechanical compression and impedance flow cytometry.Semantic proximity Read ↗

Label-Free Cancer Detection Methods Based on Biophysical Cell PhenotypesSemantic proximity Read ↗

Real-time viscoelastic deformability cytometry: High-throughput mechanical phenotyping of liquid and solid biopsies.Semantic proximity Read ↗

Time-domain signal averaging to improve microparticles detection and enumeration accuracy in a microfluidic impedance cytometerSemantic proximity Read ↗

Viscoelastic-Sorting Integrated Deformability Cytometer for High-Throughput Sorting and High-Precision Mechanical Phenotyping of Tumor CellsSemantic proximity Read ↗

High-throughput single-cell mechanical phenotyping with real-time deformability cytometry.Semantic proximity Read ↗

Multi-Zone Visco-Node-Pore Sensing: A Microfluidic Platform for Multi-Frequency Viscoelastic Phenotyping of Single Cells.Semantic proximity Read ↗

Predicting cancer cell invasion by single-cell physical phenotyping.Semantic proximity Read ↗

Deep-learning-assisted biophysical imaging cytometry at massive throughput delineates cell population heterogeneity.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.