A CMOS Multi-Modality Million-Well Culture Plate with In-Situ Machine Learning Computation for High-Throughput Quantitative Exoelectrogen Screening
Abstract
We propose a CMOS million-well plate for exoelectrogen screening, supporting sub-pA current detection, multi-modal sensing, 3D-printed micro-wells, electrical actuation, and machine learning. The platform potentially supports real-time screening of an exoelectrogen library with 108 variants, achieving 106 throughput improvement.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 05, 2017
- Source ID
- N000141712457
Entities
People
- Hua Wang
Organizations
- Georgia Tech Research Corporation
- Office of Naval Research
- United States Navy