ArticleBiomicrofluidics2019
Biophysical phenotyping of cells via impedance spectroscopy in parallel cyclic deformability channels.
Article in Biomicrofluidics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The trial behind it
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Who cites it
11 citing papers in PubMed.
- Neural Network-Enabled Multiparametric Impedance Signal Templating for High throughput Single-Cell Deformability Cytometry Under Viscoelastic Extensional Flows.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Transit Time Theory for a Droplet Passing through a Slit in Pressure-Driven Low Reynolds Number Flows.Micromachines · 2023Article
- Review
- Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning.Sensors (Basel, Switzerland) · 2023Review
- Single-Cell Classification Based on Population Nucleus Size Combining Microwave Impedance Spectroscopy and Machine Learning.Sensors (Basel, Switzerland) · 2023Article
- Impedance Imaging of Cells and Tissues: Design and Applications.BME frontiers · 2022Article
- Recent Advances in Electrical Impedance Sensing Technology for Single-Cell Analysis.Biosensors · 2021Review
- A multiplexed ion-exchange membrane-based miRNA (MIX·miR) detection platform for rapid diagnosis of myocardial infarction.Lab on a chip · 2021Article
- Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics.Lab on a chip · 2021Article
- Comparative Study of Prostate Cancer Biophysical and Migratory Characteristics via Iterative Mechanoelectrical Properties (iMEP) and Standard Migration Assays.Sensors and actuators. B, Chemical · 2020Article
- Post-enrichment circulating tumor cell detection and enumeration via deformability impedance cytometry.Biosensors & bioelectronics · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
This paper describes a new microfluidic biosensor with capabilities of studying single cell biophysical properties. The chip contains four parallel sensing channels, where each channel includes two constriction regions separated by a relaxation region. All channels share a pair of electrodes to record the electrical impedance. Single cell impedance magnitudes and phases at different frequencies were obtained. The deformation and transition time information of cells passing through two sequential constriction regions were gained from the time points on impedance magnitude variations. Constriction channels separated by relaxation regions have been proven to improve the sensitivity of distinguishing single cells. The relaxation region between two sequential constriction channels provides extra time stamps that can be identified in the impedance plots. The new chip allows simultaneous measurement of the biophysical attributes of multiple cells in different channels, thereby increasing the overall throughput of the chip. Using the biomechanical parameters represented by the time stamps in the impedance results, breast cancer cells (MDA-MB-231) and the normal epithelial cells (MCF-10A) could be distinguished by 85%. The prediction accuracy at the single-cell level reached 97% when both biomechanical and bioelectrical parameters were utilized. While the new label-free assay has been tested to distinguish between normal and cancer cells, its application can be extended to include cell-drug interactions and circulating tumor cell detection in blood.
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Registered trials
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