Quantitative phase imaging based on Fourier ptychographic microscopy: advances, applications, and perspectives
Chuanjian Zheng, Tianyu Wang, Zhan Li, Ruiqing Sun, Delong Yang, Sen Wang, Binjie Ouyang, Fei Liu, Meng Xiang, Qun Hao, Shaohui Zhang
Abstract
Quantitative phase imaging (QPI), promoted by advances in digital holography and computational imaging, is a label-free microscopy approach to investigating phase objects that are optically transparent or translucent, such as cells, tissues, or industrial microstructures.As a computational imaging technique, Fourier ptychographic microscopy (FPM) has rapidly emerged as a powerful tool to achieve wide-field and highresolution QPI.It can recover the quantitative phase maps of optical path length delays introduced by unlabeled samples, providing an objective measure of refractive index distribution or surface topography of samples.Over the past 12 years, ongoing advances in FPM hardware and software have led to numerous applications in biomedicine and industrial fields.Here, we review the field of QPI based on FPM (FPM-QPI), starting with the underlying principles, followed by a summary of representative advances in both algorithms and imaging models, and ending with the breadth of applications.Finally, we conclude with the emerging challenges and opportunities for the deployment of FPM-QPI as well as the application trends that can expand the scope and utility even further.