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Correlation of Capacitance and Microscopy Measurements Using Image Processing for a Lab-on-CMOS Microsystem

  • Bathiya P. Senevirathna
  • , Sheung Lu
  • , Marc P. Dandin
  • , Elisabeth Smela
  • , Pamela A. Abshire
  • University of Maryland, College Park
  • Carnegie Mellon University

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

We present a capacitance sensor chip developed in a 0.35-µm complementary metal–oxide–semiconductor process for monitoring biological cell viability and proliferation. The chip measures the cell-to-substrate binding through capacitance-to-frequency conversion with a sensitivity of 590 kHz/fF. In vitro experiments with two human ovarian cancer cell lines (CP70 and A2780) were performed and showed the ability to track cell viability in realtime over three days. An imaging platform was developed to provide time-lapse images of the sensor surface, which allowed for concurrent visual and capacitance observation of the cells. The results showed the ability to detect single-cell binding events and changes in cell morphology. Image processing was performed to estimate the cell coverage of sensor electrodes, showing good linear correlation and providing a sensor gain of 1.28 ± 0.29 aF/µm2, which agrees with values reported in the literature. The device is designed for unsupervised operation with minimal packaging requirements. Only a microcontroller is required for readout, making it suitable for applications outside the traditional laboratory setting.

Original languageEnglish
Pages (from-to)1214-1225
Number of pages12
JournalIEEE Transactions on Biomedical Circuits and Systems
Volume13
Issue number6
DOIs
StatePublished - Dec 1 2019

Keywords

  • Biosensor chip
  • image processing
  • lab on a chip
  • point-of-care device
  • system on chip

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