Article

Deep computational microscopy via physics-informed end-to-end learning with a learned forward model

2023-04-25

Abstract excerpt

<title>Abstract</title> <p>Computational microscopy, which merges cutting-edge optical methods with intricate algorithms, offers significant potential for applications such as resolution improvement and quantitative phase retrieval. However, it faces challenges due to high computational demands and the need for precise algorithms. Recent advancements in data-driven deep-learning-based techniques have emerged to m...

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Literature Corpus work: 39716ba0-eac5-50f3-be6d-276551accc23
DOI: 10.21203/rs.3.rs-2785592/v1

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