Label‐free super‐resolution (LFSR) imaging relies on light‐scattering processes in
nanoscale objects without a need for fluorescent (FL) staining required in super‐resolved FL …

Holotomography (HT) represents a 3D, label-free optical imaging methodology that
leverages refractive index as an inherent quantitative contrast for imaging. This technique …

Learning to optimize (L2O) is an emerging approach that leverages machine learning to
develop optimization methods, aiming at reducing the laborious iterations of hand …

Full‐waveform inversion (FWI) is a powerful geophysical imaging technique that reproduces
high‐resolution subsurface physical parameters by iteratively minimizing the misfit between …

Quantitative phase imaging (QPI) is an emerging label-free technique that produces images
containing morphological and dynamical information without contrast agents. Unfortunately …

Propelled by the striking advances in optical microscopy and deep learning (DL), the role of
imaging in lab-on-a-chip has dramatically been transformed from a silo inspection tool to a …

Full-waveform inversion (FWI) is an efficient technique for capturing the subsurface physical
features by iteratively minimizing the misfit between simulated and observed seismograms …

Cryogenic electron microscopy (cryo-EM) provides im-ages from different copies of the same
biomolecule in ar-bitrary orientations. Here, we present an end-to-end unsu-pervised …

Most modern imaging systems incorporate a computational pipeline to infer the image of
interest from acquired measurements. The Bayesian approach to solve such ill-posed …

Ultrasonic methods have great potential applications to detect and characterize defects in
multi-layered bonded composites. However, it remains challenging to quantitatively …