Deep Learning and Smart Microscopy
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Deep learning algorithms offer a powerful means to automatically analyze the content of biomedical images. However, many biological samples of interest are difficult to resolve with a standard optical microscope. Either they are too large to fit within the microscope’s field-of- view, or are too thick, or are quickly moving around. This session will summarize how deep learning algorithms are useful in microscopy, and discuss strategies to use deep learning algorithms to design new ways to capture microscopic images. This leads to a new class of "smart microscope" that can adapt to capture the best data possible for automatic image analysis.
Before the session, all registrants will receive an e-mail with a link and meeting information.
|Date||Wednesday, October 14th, 2020|
|Time||4:30pm - 6:00pm|