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Digital hologram reconstruction segmentation using a convolutional neural network

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Abstract

Digital holographic microscopy allows capture of the full wavefront from microscopic objects without marking and scanning. Multi-label segmentation of digital holograms of three-dimensional Madin-Darby canine kidney cell clusters is realized using a fully convolutional neural network.

© 2019 The Author(s)

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