Digitizing Biology with CMOS Circuits
In the fifty years since the invention of CMOS circuits, an army of scientists and engineers have worked to increase their complexity and speed while decreasing their size and power consumption to drive the computer revolution. In doing so, they developed a technology that is also well suited for a variety of other applications including the topic of this talk "Digitizing Biology." The first part of this talk will present work from Prof. Salthouse's lab on using the small size, high speed, and large complexity of integrated circuits to digitize the fluorescence from cells. The goal of this project is to replace a $30,000 flow cytometer that sits on a bench in a hospital lab with a $3 disposable flow cytometer that can be used wherever the patient is located. The second part of the talk will cover Prof. Salthouse's work to develop new wearable sensors that can digitize information about human behavior and environmental exposure without adding any burden of maintaining another gadget. Finally, Prof. Salthouse will provide a brief introduction to the University of Massachusetts's Center for Personalized Health Monitoring, a new center that brings together the College of Engineering, the Polymer Science and Engineering Program, and the Department of Kinesiology to build a new $45 technology development center.
Christopher Salthouse is the Dev and Linda Gupta Professor of Electrical and Computer Engineering at the University of Massachusetts, Amherst. He directs the Biomedical Electronics Laboratory and leads the engineering effort in the University's new Center for Personalized Health Monitoring. Prior to joining the University of Massachusetts, Prof. Salthouse received his Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology, where he used subthreshold analog circuit design to develop a micropower speech processor for cochlear implants that used less than 5% of the power of commercial alternatives. He then worked at Massachusetts General Hospital for three years developing biomedical imaging systems based on fluorescence lifetime imaging and up conversion imaging.