Titlebook: Computational Optical Phase Imaging; Cheng Liu,Shouyu Wang,Suhas P. Veetil Book 2022 The Editor(s) (if applicable) and The Author(s), unde

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https://doi.org/10.1007/978-0-230-62943-1f intensity equation (TIE), etc., can provide a powerful alternative solution to quantitative phase imaging problems without using complex optical alignment and highly coherent illumination. This chapter outlines the principle of such non-interferometric quantitative phase imaging techniques systema

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Non-interferometric Quantitative Optical Phase Imaging,f intensity equation (TIE), etc., can provide a powerful alternative solution to quantitative phase imaging problems without using complex optical alignment and highly coherent illumination. This chapter outlines the principle of such non-interferometric quantitative phase imaging techniques systema

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Non-interferometric Quantitative Optical Phase Imaging,aging. However, these methods rely on the high degree of coherence of light beams to achieve interference, and their accuracy heavily depends on the quality of optical elements adopted and the stability of working environment. Thus, it is difficult to apply interferometric methods for imaging with s

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Typical Applications of Computational Phase Imaging,hms to optimize the entire imaging process, from acquisition to reconstruction. As a computation-intensive inverse problem, the reconstruction problem eliminates bulky and expensive optical components usually used in traditional optical imaging. Computing phase imaging has several advantages and pro

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