ArticleBiomicrofluidics2012
Quantification of the specific membrane capacitance of single cells using a microfluidic device and impedance spectroscopy measurement.
Article in Biomicrofluidics, 2012. 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, 50 citations in OpenAlex.
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- Animal simulations facilitate smart drug design through prediction of nanomaterial transport to individual tissue cells.Science advances · 2020Article
- Proton transport modeling in a realistic biological environment by using TILDA-V.Scientific reports · 2019Article
- Muscle assessment using multi-frequency bioimpedance in a healthy Danish population aged 20-69 years: a powerful non-invasive tool in sports and in the clinic.Physiological reports · 2019Article
- Selective Detection of Human Lung Adenocarcinoma Cells Based on the Aptamer-Conjugated Self-Assembled Monolayer of Gold Nanoparticles.Micromachines · 2019Article
- Frequency-Modulated Wave Dielectrophoresis of Vesicles And Cells: Periodic U-Turns at the Crossover Frequency.Nanoscale research letters · 2018Article
- Organs-on-chips with integrated electrodes for trans-epithelial electrical resistance (TEER) measurements of human epithelial barrier function.Lab on a chip · 2017Article
- Ultra-fast cell counters based on microtubular waveguides.Scientific reports · 2017Article
- Micro electrical impedance spectroscopy on a needle for ex vivo discrimination between human normal and cancer renal tissues.Biomicrofluidics · 2016Article
- Ex vivo characterization of age-associated impedance changes of single vascular endothelial cells using micro electrical impedance spectroscopy with a cell trap.Biomicrofluidics · 2016Article
- Microfluidic impedance flow cytometry enabling high-throughput single-cell electrical property characterization.International journal of molecular sciences · 2015Review
- Label-free isolation of circulating tumor cells in microfluidic devices: Current research and perspectives.Biomicrofluidics · 2013Article
- Discrimination between the human prostate normal cell and cancer cell by using a novel electrical impedance spectroscopy controlling the cross-sectional area of a microfluidic channel.Biomicrofluidics · 2013Article
- Microfluidic device for trapping and monitoring three dimensional multicell spheroids using electrical impedance spectroscopy.Biomicrofluidics · 2013Article
- A microfluidic platform for measuring electrical activity across cells.Biomicrofluidics · 2012Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The specific membrane capacitance (SMC) is an electrical parameter that correlates with both the electrical activity and morphology of the plasma membrane, which are physiological markers for cellular phenotype and health. We have developed a microfluidic device that enables impedance spectroscopy measurements of the SMC of single biological cells. Impedance spectra induced by single cells aspirated into the device are captured over a moderate frequency range (5 kHz-1 MHz). Maximum impedance sensitivity is achieved using a tapered microfluidic channel, which effectively routes electric fields across the cell membranes. The SMC is extracted by curve-fitting impedance spectra to an equivalent circuit model. From our measurement, acute myeloid leukemia (AML) cells are found to exhibit larger SMC values in hypertonic solutions as compared with those in isotonic solutions. In addition, AML cell phenotypes (AML2 and NB4) exhibiting varying metastatic potential yield distinct SMC values (AML2: 16.9 ± 1.9 mF/m(2) (n = 23); NB4: 22.5 ± 4.7 mF/m(2) (n = 23)). Three-dimensional finite element simulations of the microfluidic device confirm the feasibility of this approach.
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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.