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Finding particles with machine learning

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Hank Hogan

Optical live-cell imaging, in some ways, is a victim of its own success. Because of advances, researchers can collect far more data than they can analyze manually. This is particularly true when it comes to tracking the movement of particles and molecules within a cell. Largely because of problems with particle identification, automated tracking has not worked. Now, particle detection is possible through the use of machine learning methods that distinguish particles by means of characteristic features, according to researchers from Tsinghua University in Beijing, and from Harvard Medical...Read full article

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