This Roadmap article on digital holography provides an overview of a vast array of research
activities in the field of digital holography. The paper consists of a series of 25 sections from …

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” …

Quantitative phase imaging has gained popularity in bioimaging because it can avoid the
need for cell staining, which, in some cases, is difficult or impossible. However, as a result …

In the past decade, sparsity-driven regularization has led to significant improvements in
image reconstruction. Traditional regularizers, such as total variation (TV), rely on analytical …

Plug-and-play priors (PnP) is a powerful framework for regularizing imaging inverse
problems by using advanced denoisers within an iterative algorithm. Recent experimental …

In the past two decades, nonlinear image reconstruction methods have led to substantial
improvements in the capabilities of numerous imaging systems. Such methods are …

Imaging systems' performance at low light intensity is affected by shot noise, which becomes
increasingly strong as the power of the light source decreases. In this Letter, we …

Regularization by denoising (RED) is an image reconstruction framework that uses an
image denoiser as a prior. Recent work has shown the state-of-the-art performance of RED …

In recent years, artificial intelligence (AI) techniques have been developed rapidly. With the
help of big data, massive parallel computing, and optimization algorithms, machine learning …

Optical diffraction tomography (ODT) reconstructs a sample's volumetric refractive index (RI)
to create high-contrast, quantitative 3D visualizations of biological samples. However …