Zhong Jingshan

TL;DR: This work proposes an alternative method for solving the Transport of Intensity equation from a stack of through-focus intensity images taken by a microscope or lensless imager, which enables quantitative phase and amplitude imaging with improved accuracy and reduced data capture, while also being computationally efficient and robust to noise.

TL;DR: A new method for phase retrieval that uses partially coherent illumination created by any arbitrary source shape in Köhler geometry using a stack of defocused intensity images to recover not only the phase and amplitude of the sample, but also an estimate of the unknown source shape, which describes the spatial coherence of the illumination.

TL;DR: A novel low-complexity recursive filter to efficiently recover quantitative phase from a series of noisy intensity images taken through focus that is efficient, robust and recursive, and may be feasible for real-time phase recovery applications with high resolution images.

TL;DR: In this paper, a Kalman filtering method is used to recover the phase of a thin object illuminated by partially coherent light, which is fast, efficient, robust to noise, and able to handle arbitrary source shapes when used in a microscope with Kohler illumination.

TL;DR: In this article, a Kalman filter was used for phase imaging using through-focus images taken with a microscope having illumination of any arbitrary source shape (coherence), which is fast, accurate and noise robust.