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ディープラーニングが変える顕微鏡イメージング From Science and Nikon Instruments Inc.

2020年12月

Our goal in this supplement is to help inform readers of the possibilities presented by deep learning–based imaging and analysis methods for microscopy. This e-book includes an educational primer on deep learning in microscopy by Florian Jug, a group leader at the MPI-CBG Center for Systems Biology in Dresden, Germany, and expert in quantitative bioimaging methods utilizing deep learning. Also included are a number of recent research articles highlighting the use of machine learning or deep learning for image analysis.