CMOS芯片
像素
炸薯条
材料科学
点间距
接口
电极阵列
多电极阵列
计算机科学
光电子学
电子工程
计算机硬件
电极
电压
电气工程
微电极
工程类
人工智能
物理
电信
量子力学
作者
Adam Wang,Yuguo Sheng,Wanlu Li,Doohwan Jung,Gregory Junek,Hangxing Liu,Jong-Seok Park,Dongwon Lee,Mian Wang,Sushila Maharjan,Sagar Kumashi,Jin Hao,Yu Shrike Zhang,Kevin Eggan,Hua Wang
标识
DOI:10.1109/tbcas.2022.3224064
摘要
The article presents a fully integrated multimodal and multifunctional CMOS biosensing/actuating array chip and system for multi-dimensional cellular/tissue characterization. The CMOS chip supports up to 1,568 simultaneous parallel readout channels across 21,952 individually addressable multimodal pixels with 13 μm × 13 μm 2-D pixel pitch along with 1,568 Pt reference electrodes. These features allow the CMOS array chip to perform multimodal physiological measurements on living cell/tissue samples with both high throughput and single-cell resolution. Each pixel supports three sensing and one actuating modalities, each reconfigurable for different functionalities, in the form of full array (FA) or fast scan (FS) voltage recording schemes, bright/dim optical detection, 2-/4-point impedance sensing (ZS), and biphasic current stimulation (BCS) with adjustable stimulation area for single-cell or tissue-level stimulation. Each multi-modal pixel contains an 8.84 μm × 11 μm Pt electrode, 4.16 μm × 7.2 μm photodiode (PD), and in-pixel circuits for PD measurements and pixel selection. The chip is fabricated in a standard 130nm BiCMOS process as a proof of concept. The on-chip electrodes are constructed by unique design and in-house post-CMOS fabrication processes, including a critical Al shorting of all pixels during fabrication and Al etching after fabrication that ensures a high-yield planar electrode array on CMOS with high biocompatibility and long-term measurement reliability. For demonstration, extensive biological testing is performed with human and mouse progenitor cells, in which multidimensional biophysiological data are acquired for comprehensive cellular characterization.
科研通智能强力驱动
Strongly Powered by AbleSci AI