Cancer Diagnostics with Deep Learning and Photonic Time Stretch
 

An imaging system combining flow cytometry, photonic time stretch, and machine learning algorithms enables UCLA researchers to classify cancer cells in blood samples without using biomarker labels.

2017-02-09 07:00 AM


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