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U-net based isotropic phase retrieval with quantitative differential phase contrast microscopy

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Abstract

IDPC imaging with a half-circle pupil faces the problem of demanding multiple measurements for isotropic phase retrieval. Here, deep learning method is applied to deal with slow data acquisition process and generate accurate phase from the least number of measurements.

© 2021 The Author(s)

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