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High school student helps transform crazy idea into a model that can predict neurotransmitters

High school student helps transform crazy idea into a model that can predict neurotransmitters
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AI under the microscope: the algorithms powering the search for cells

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.

Machine learning and high-powered microscopes provide detailed snapshots of cells inner machinery

GridTape: An automated electron microscopy platform

 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 them in extremely high-resolution over really large areas and volumes. To do so, his team developed an improved process for large-scale electron microscopy (EM) a technique first developed in the 1950s using accelerated electrons beams to visualize extremely small structures.

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