Advanced Quantitative Phase Microscopy: Techniques and Applications

Dear Colleagues,

Quantitative phase microscopy (QPM) is an emerging label-free imaging technology that visualizes transparent samples by recovering the phase delay of the illumination beam caused when it passes through them. During the last decade, QPM has been widely used in industrial inspection, air/gas visualization, 3D imaging/display, and the biomedical field, etc. Meanwhile, many efforts have been made to enhance the spatial resolution, imaging speed, phase accuracy, and measurement range, as well as the reconstruction of QPM in general. Notably, with the rapid development of computer science and other subjects, several new quantitative phase imaging techniques have been developed, such as wavefront sensing, shearing interference, transport of intensity equation (TIE)-based approach, beam-propagation-based methods, Fourier ptychography, and so on. Meanwhile, dozens of image processing algorithms, including machine learning and deep learning technologies, have led to breakthroughs in QPM.

Topics of this Special Issue include, but are not limited to, the following:

• Quantitative phase microscopy;
• Phase retrieval;
• Ptychography/Fourier ptychography;
• Digital holographic microscopy;
• Transport of intensity;
• Computational imaging;
• Biomedical, clinical, and medical applications of QPM;
• Optical diffraction tomography;
• Deep learning and neural networks related to QPM and applications;
• Digital staining;
• Optical information acquisition.

Dr. Ying Ma
Dr. Shaohui Zhang
Dr. Sha An
Guest Editors

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