Brain Inspired ISFET Arrays - A TinyML Approach to Lab-on-Chip Diagnostics

Learn about brain-inspired ISFET arrays and their application in Lab-on-Chip diagnostics through a recorded conference talk from the tinyML EMEA event. Explore how neuromorphic electronics and TinyML can revolutionize point-of-care medical diagnostics through the integration of electrochemical sensing with novel AI algorithms. Discover four innovative neuromorphic ISFET array architectures that operate at ultra-low power consumption, implemented in TSMC 180nm technology. Examine how these arrays leverage spatial compensation, temporal integration, linear weighting, and background inhibition to create efficient spiking networks. Understand the development of novel winner-take-all architectures for background inhibition and drift compensation in ISFET neurons. Investigate the practical applications in COVID-19 and cancer biomarker detection using convolutional neural networks on microcontrollers and tflite-micro. Gain insights into how this technology can accelerate pandemic response through AI at the edge while addressing privacy concerns and power consumption challenges in portable diagnostic devices.