A CMOS 22k-pixel single-cell resolution multi-modality real-time cellular sensing array
METADATA ONLY
Loading...
Author / Producer
Date
2017
Publication Type
Conference Paper
ETH Bibliography
no
Citations
Altmetric
METADATA ONLY
Data
Rights / License
Abstract
This paper presents a single-cell-resolution multimodality cellular interfacing array for holistic cell characterization and high-throughput drug screening. It contains 22,528 multimodality sensing pixels with a pixel size of 17μm×17μm. Each pixel contains a 4μm×4μm gold-plated electrode for extracellular potential recording and a 3μm×6μm photodiode for optical detection. To compensate for the degraded signal to noise ratio (SNR) due to the large electrode-electrolyte impedance at the cell-sensor interface, we employ a DC-coupled chopper amplifier when performing extracellular potential recording. A proof-of-concept design is implemented in a standard 130nm CMOS process. It achieves a measured input-referred noise of 2.46μVrms integrated from 1Hz to 4kHz with a chopping frequency of 20kHz, and cell-based measurement results demonstrate real-time recorded action potentials with high SNR. Measured high-resolution optical shadow images provide the detailed cell and tissue morphology as well as the 2D distribution of on-chip cultured cells. Furthermore, this paper presents the first CMOS sensing array to successfully capture on-chip rat cardiomyocyte contraction using multiple sensing modalities, specifically optical detection and potential recording.
Permanent link
Publication status
published
External links
Editor
Book title
2017 IEEE Custom Integrated Circuits Conference (CICC)
Journal / series
Volume
Pages / Article No.
177 - 180
Publisher
Curran
Event
38th Annual Custom Integrated Circuits Conference (CICC 2017)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
CMOS; Cell-based assay; Contractility; Cardiomyocytes; Drug screening; Multi-modality; Photodiode
Organisational unit
09757 - Wang, Hua / Wang, Hua