Neurons communicate electrically so to understand how they produce brain functions such as memory, neuroscientists must track how their voltage changes—sometimes subtly—on the timescale of milliseconds. In a new paper in Nature Communications, MIT researchers describe a novel image sensor with the capability to substantially increase that ability.
The invention led by Jie Zhang, a postdoctoral scholar in The Picower Institute for Learning and Memory lab of Sherman Fairchild Professor Matt Wilson, is a new take on the standard “CMOS” technology used in scientific imaging. In that standard approach, all pixels turn on and off at the same time—a configuration with an inherent trade-off in which fast sampling means capturing less light. The new chip enables each pixel’s timing to be controlled individually. That arrangement provides a “best of both worlds” in which neighboring pixels can essentially complement each other to capture all the available light without sacrificing speed.
