There is an increasing interest in iterative reconstruction (IR) as a key tool to improve quality
and increase applicability of x-ray CT imaging. IR has the ability to significantly reduce …

Estimation of a parameter of interest from image data represents a task that is commonly
carried out in single molecule microscopy data analysis. The determination of the positional …

This book is concerned with deconvolution methods for image deblurring, that is,
computational techniques for reconstruction of blurred images based on a concise …

This paper describes a statistical image reconstruction method for X-ray computed
tomography (CT) that is based on a physical model that accounts for the polyenergetic X-ray …

One of the most basic questions in single-molecule microscopy concerns the accuracy with
which the location of a single molecule can be determined. Using the Fisher information …

Rayleigh's criterion is extensively used in optical microscopy for determining the resolution
of microscopes. This criterion imposes a resolution limit that has long been held as an …

Gradient-based iterative methods often converge slowly for tomographic image
reconstruction and image restoration problems, but can be accelerated by suitable …

We formulate computed tomography (CT) sinogram preprocessing as a statistical restoration
problem in which the goal is to obtain the best estimate of the line integrals needed for …

Robust object detection under photon-limited conditions is crucial for applications such as
night vision, surveillance, and microscopy, where the number of photons per pixel is low due …

We have developed a sinogram smoothing approach for low‐dose computed tomography
(CT) that seeks to estimate the line integrals needed for reconstruction from the noisy …