Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with
significant opportunities for biomedical applications. QPI uses the natural phase shift of light …

The competition between resolution and the imaging field of view is a long-standing problem
in traditional imaging systems—they can produce either an image of a small area with fine …

Quantitative phase imaging (QPI) has emerged as a valuable tool for biomedical research
thanks to its unique capabilities for quantifying optical thickness variation of living cells and …

Holography is a powerful tool to record waves without loss of information that has benefited
optical, X-ray and electronic imaging applications by quantifying phase delays induced by …

Holography provides access to the optical phase. The emerging compressive phase
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …

Traditional imaging systems exhibit a well-known trade-off between the resolution and the
field of view of their captured images. Typical cameras and microscopes can either “zoom in” …

Large-scale imaging of biological dynamics with high spatiotemporal resolution is
indispensable to system biology studies. However, conventional microscopes have an …

Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …

Optical imaging has served as a primary method to collect information about biosystems
across scales—from functionalities of tissues to morphological structures of cells and even at …

Fourier ptychography is a new computational microscopy technique that provides gigapixel-
scale intensity and phase images with both wide field-of-view and high resolution. By …