Paul Rothemund and Colleagues Use Self-Assembled DNA Scaffolding to Build Tiny Circuit Boards
Dr. Paul Rothemund, Senior Research Associate in Bioengineering, Computer Science, and Computation and Neural Systems, and colleagues have developed a new technique to orient and position self-assembled DNA shapes and patterns--or "DNA origami"--on surfaces that are compatible with today's semiconductor manufacturing equipment. They "have removed a key barrier to the improvement and advancement of computer chips. They accomplished this through the revolutionary approach of combining the building blocks for life with the building blocks for computing," said Professor Ares Rosakis, Chair of Division of Engineering and Applied Science and Theodore von Kármán Professor of Aeronautics and Mechanical Engineering. [Caltech Press Release]
Pietro Perona Trains Computers to Analyze Fruit-Fly Behavior
Researchers led by Pietro Perona, the Allen E. Puckett Professor of Electrical Engineering, and David J. Anderson, the Roger W. Sperry Professor of Biology and a Howard Hughes Medical Institute Investigator, have trained computers to automatically analyze aggression and courtship in fruit flies, opening the way for researchers to perform large-scale, high-throughput screens for genes that control these innate behaviors. The program allows computers to examine half an hour of video footage of pairs of interacting flies in what is almost real time; characterizing the behavior of a new line of flies "by hand" might take a biologist more than 100 hours. "This is a coming-of-age moment in this field," says Perona. "By choosing among existing machine vision techniques, we were able to put together a system that is much more capable than anything that had been demonstrated before." This work is detailed in the April issue of Nature Methods. [Caltech Press Release]
Ali Hajimiri Awarded $6 Million to Develop Self-Healing Circuits
Over the past few decades, the transistors in computer chips have become progressively smaller and faster, allowing upwards of a billion individual transistors to be packed into a single circuit, thus shrinking the size of electronic devices. But these circuits have an intractable design flaw: if just a single transistor fails, the entire circuit also fails. One novel way around the problem is a so-called self-healing circuit. Such circuits are "inspired by biological systems that constantly heal themselves in the presence of random and intentional failures," says Caltech professor Ali Hajimiri.