Name
Title | ||
|---|---|---|
A microfluidic system enabling continuous characterization of single-cell specific membrane capacitance and cytoplasm conductivity |
Abstract | ||
|---|---|---|
This paper presents a microfluidic system enabling continuous characterization of specific membrane capacitance (Cspecific membrane) and cytoplasm conductivity (σcytoplasm) of single biological cells. In this study, cells were aspirated through a constriction channel while cell elongations and impedance profiles at 1 kHz and 100 kHz were measured simultaneously using microscopy imaging and a lock-in amplifier. Based on the proposed equivalent circuit model, raw data were translated to Cspecific membrane and σcytoplasm, which were 3.67±1.00 vs. 4.53±1.51 μF/cm2 and 0.47±0.09 vs. 0.55±0.14 S/m for the kidney tumor cell line of 786-O (n=302) and the vascular smooth muscle cell line of T2 (n=216), respectively. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/NEMS.2013.6559747 | NEMS |
Keywords | Field | DocType |
cellular biophysics,biomems,microfluidic system,cytoplasm conductivity,frequency 100 khz,capacitance,microscopy,constriction channel,bioelectric phenomena,lockin amplifier,single-cell analysis,microfluidics,frequency 1 khz,biomembranes,specific membrane capacitance,cell impedance profile,single cell specific membrane capacitance,cell elongation profile,impedance measurement,spectroscopy,impedance | Conductivity,Analytical chemistry,Membrane potential,Capacitance,Cytoplasm,Cell,Membrane,Microscopy,Materials science,Equivalent circuit | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
978-1-4673-6351-8 | 0 | 0.34 |
References | Authors | |
0 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Zhao | 1 | 2 | 0.83 |
| Deyong Chen | 2 | 13 | 10.49 |
| Hao Li | 3 | 0 | 0.34 |
| Yana Luo | 4 | 0 | 0.34 |
| Bin Deng | 5 | 0 | 0.34 |
| Song-Bin Huang | 6 | 9 | 3.97 |
| Tzukeng Chiu | 7 | 0 | 0.68 |
| Min-Hsien Wu | 8 | 16 | 6.30 |
| Rong Long | 9 | 0 | 0.34 |
| Junbo Wang | 10 | 54 | 16.41 |
| Jian Chen | 11 | 23 | 15.42 |