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Deep learning is driving the rapid evolution of algorithms that can automatically find and trace cells in a wide range of microscopy experiments. Deep learning is driving the rapid evolution of algorithms that can automatically find and trace cells in a wide range of microscopy experiments.
Open any introductory biology textbook, and you'll see a familiar diagram: A blobby-looking cell filled with brightly colored structures – the inner machinery that makes the cell tick.
E-Mail How are networks of neurons connected to make functional circuits? This has been a long standing question in neuroscience. To answer this fundamental question, researchers from Boston Children's Hospital and Harvard Medical School developed a new way to study these circuits and in the process learn more about the connections between them. "Neural networks are extensive, but the connections between them are really small," says Wei-Chung Allen Lee, PhD, of the F.M. Kirby Neurobiology Center at Boston Children's and Harvard Medical School. "So, we have had to develop techniques to see ...