Precision Nanosurgery and Multimodal Intracellular Monitoring of Cellular Networks by Biomimic Nano-optoelectrode Arrays
Abstract
In situ spatiotemporal characterization of biological activities inside cells and their interactions in cellular networks remains a formidable challenge but can offer crucial opportunities in biology and medicine. A promising approach is to seamlessly interface nanosensor arrays with biological systems for in situ spatiotemporal monitoring. Nevertheless, several methodological difficulties prevent current biointerfaced nanosensing technology from achieving reliable multimodal intracellular monitoring of cellular networks. To address these challenges, the PI s group has made significant progress on scalable multiresonant nano-optoelectrode arrays for hybrid optical-electrical operations, self-calibrated surfaceenhanced Raman spectroscopy for reliable biochemical monitoring, and ultrafast fs pulse-induced nanobubble generation for cell optoporation. Nevertheless, to achieve reliable multimodal intracellular monitoring of cell network activities, we must address several crucial requirements, including tight nanodevice-cell coupling, precision optoporation nanosurgery with minimal invasiveness and repeated reliability, and automated multimodal instrumentation. Thus, the specific objectives of this research include: (1) To develop 2-tier nano-optoelectrode arrays for cell engulfment by hierarchical modular design; (2) To achieve self-calibrated plasmonic nanobubble generation by fs pulses; (3) To investigate cell membrane optoporation-repair process for precision nanosurgery; and (4) To explore multimodal intracellular monitoring of cellular network drug response. The proposed research can promote the development of close-looped multimodal bio-machine interface technology to enhance human performance and deepen our understanding of the spatiotemporal correlations between different biological processes. This study can lead to new bidirectional multimodal information conversion methods at the nano-bio interface to create cyber-physical-biological systems that can leverage the best features of designed living-nonliving things, including biological adaptiveness/sensitivity/selectivity, robotics, artificial intelligence, and telecommunication/internet.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 29, 2024
- Source ID
- FA95502310282
Entities
People
- Wei Zhou
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- Virginia Tech