Speaker: Prof. Hua Wang, Georgia Tech University
Abstract:
Cells are highly complex systems that often exhibit multi-physics responses under external stimulus. To achieve holistic cellular characterizations, it is essential to create interfaces that can provide (1) single-cell resolution, (2) multi-modality interfacing with cells, (3) real-time two-way communication (sensing and actuation), (4) compatibility with high throughput massively parallel operations, and (5) possibility of production at commercial quantities. The nanometer-scale complementary metal-oxide semiconductor (CMOS) process is a potential candidate to realize cell-microelectronics interfaces. Electronics-based computations and signal processing, such as machine learning methods, may drastically relax the requirement on the physical interface and lead to further pixel miniaturization.
In this talk, we will present several fully integrated multi-modality CMOS cellular joint sensor/actuator arrays with multiple sensing modalities in every array pixel to characterize different cell physiological responses, including extracellular voltage recording, cellular impedance mapping, and optical detection with shadow imaging and bioluminescence sensing. Each pixel also contains electrical voltage/current excitation for cellular stimulation. These reported CMOS cellular joint sensor/actuator arrays comprise up-to 22k multi-modality pixels on each chip with spatial resolution down to 17um*17um/pixel, achieving single-cell resolution. Multi-modality cellular sensing at the pixel level is supported, which enables holistic cell characterization and concurrent joint-modality physiological monitoring on the same cellular sample. Comprehensive biological experiments with different living cell samples demonstrate the functionality.