Event
Ph.D. Dissertation Defense: Bathiya Senevirathna
Thursday, June 6, 2019
2:00 p.m.
2168 A.V. Williams Building
Maria Hoo
301 405 3681
mch@umd.edu
ANNOUNCEMENT: Ph.D. Dissertation Defense
NAME: Bathiya Senevirathna
Advisory Committee:
Professor Pamela Abshire, Chair/Advisor
Advisory Committee:
Professor Pamela Abshire, Chair/Advisor
Professor Reza Ghodssi
Professor Timothy Horiuchi
Professor Robert Newcomb
Professor Ian White, Dean's representative
Professor Timothy Horiuchi
Professor Robert Newcomb
Professor Ian White, Dean's representative
Date/Time: Thursday, June 6, 2019 at 2 - 4 PM
Place: 2168 A.V. Williams Building
Title: LAB-ON-CMOS SENSORS AND REAL-TIME IMAGING FOR BIOLOGICAL CELL MONITORING
Abstract:
This work presents development of a lab-on-chip (LoC) sensor for real-time monitoring biological cell viability and proliferation. Observing these properties in real-time provides a comprehensive picture of the changes cells undergo during their lifecycle than can be achieved using traditional end-point assays and are important for many kinds of cell applications. Particularly for drug screening applications, high-temporal resolution cell viability data could inform decisions on drug application protocols that could lead to better treatment outcomes.
The sensor consists of a complementary metal-oxide-semiconductor (CMOS) chip that measures the cell-to-substrate coupling characteristics of living, adherent, cells that are cultured directly on top. This technique is non-invasive, does not require any biochemical labeling, and allows for automated and unsupervised cell monitoring.
The primary contributions of this work are: i) A CMOS capacitance sensor design that addresses the challenges of sensitivity, noise coupling, and dynamic range. The design includes on-chip digitization, serial data output, and programmable control logic in order to facilitate packaging requirements for biological experiments. Only a microcontroller is required for readout, making it suitable for applications outside the traditional laboratory setting. ii) An imaging platform to provide time-lapse images of cells on the sensor surface, which allows for simultaneous visual and capacitance observation of the cells while leaving the cell culture environment undisturbed. iii) The application of the sensor as a proof-of-concept tool for monitoring chemotherapeutic agent potency in cancer cells.
This work presents development of a lab-on-chip (LoC) sensor for real-time monitoring biological cell viability and proliferation. Observing these properties in real-time provides a comprehensive picture of the changes cells undergo during their lifecycle than can be achieved using traditional end-point assays and are important for many kinds of cell applications. Particularly for drug screening applications, high-temporal resolution cell viability data could inform decisions on drug application protocols that could lead to better treatment outcomes.
The sensor consists of a complementary metal-oxide-semiconductor (CMOS) chip that measures the cell-to-substrate coupling characteristics of living, adherent, cells that are cultured directly on top. This technique is non-invasive, does not require any biochemical labeling, and allows for automated and unsupervised cell monitoring.
The primary contributions of this work are: i) A CMOS capacitance sensor design that addresses the challenges of sensitivity, noise coupling, and dynamic range. The design includes on-chip digitization, serial data output, and programmable control logic in order to facilitate packaging requirements for biological experiments. Only a microcontroller is required for readout, making it suitable for applications outside the traditional laboratory setting. ii) An imaging platform to provide time-lapse images of cells on the sensor surface, which allows for simultaneous visual and capacitance observation of the cells while leaving the cell culture environment undisturbed. iii) The application of the sensor as a proof-of-concept tool for monitoring chemotherapeutic agent potency in cancer cells.
