Brain researchers are joining forces with computer hackers to tackle a big challenge in neuroscience: teaching computers how to tell a healthy neuron from a sick one.
"Sick neurons have a withered appearance, much like a sick plant has a withered appearance," says Jane Roskams, an executive director at the Allen Institute for Brain Science. But at the moment, she says, highly trained scientists are still better than computers at assessing a neuron just by looking at its shape, which resembles a tree that can have thousands of branches.
Automating the analysis of single neurons could greatly speed up the process, allowing analysis of thousands of cells. A standardized, computer-based system also would make it easier for researchers to compare results and allow more labs to study how the shape of neurons is changed by everything from learning to Alzheimer's disease, Roskams says.
So the institute has launched BigNeuron, a collaborative effort to improve the computer algorithms that turn microscope images of a neuron into a three-dimensional digital model and then analyze its shape. The effort will include a series of hackathons in which programmers and brain scientists get together to test their algorithms.
"So we have 15 to 20 people in a room," Roskams says. "They each have their pet algorithm, and they're kind of racing each other." The first hackathon took place in Beijing in mid-March. Others are planned for the U.S. and the U.K.