Physics-enhanced machine learning for virtual fluorescence microscopy

9 Apr 2020Colin L. CookeFanjie KongAmey ChawareKevin C. ZhouKanghyun KimRong XuD. Michael AndoSamuel J. YangPavan Chandra KondaRoarke Horstmeyer

This paper introduces a new method of data-driven microscope design for virtual fluorescence microscopy. Our results show that by including a model of illumination within the first layers of a deep convolutional neural network, it is possible to learn task-specific LED patterns that substantially improve the ability to infer fluorescence image information from unstained transmission microscopy images... (read more)

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