Viability of Point Spread Function Deconvolution for SEM

Enhancement of Point Spread Function of Planar Fluorescent Imaging System Using Iterative Deconvolution Method

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Tomographic Estimation of the Point-spread Function of an Ultrasound Imaging System for Deconvolution

Bayesian estimation of regularization and point spread function parameters for Wiener-Hunt deconvolution.

This paper tackles the problem of image deconvolution with joint estimation of point spread function (PSF) parameters and hyperparameters. Within a Bayesian framework, the solution is inferred via a global a posteriori law for unknown parameters and object. The estimate is chosen as the posterior mean, numerically calculated by means of a Monte Carlo Markov chain algorithm. The estimates are ef...

A deconvolution-based algorithm for crowded field photometry with unknown Point Spread Function

A new method is presented for determining the Point Spread Function (PSF) of images that lack bright and isolated stars. It is based on the same principles as the MCS (Magain, Courbin, Sohy, 1998) image deconvolution algorithm. It uses the information contained in all stellar images to achieve the double task of reconstructing the PSFs for single or multiple exposures of the same field and to e...

Fixed Vs Adaptable Point Spread Function (psf) in Deconvolution Two-photon Microscopy of Pathological Neo-vasculature

Pathological neo-vascularization, i.e., the expansion of the vascular bed in solid tumors and after hindlimb ischemia and myocardial infarction, occurs through angiogenesis and/or arteriogenesis [1]. Quantification of microvascular morphology would allow evaluation of the effect of proand anti-angiogenic therapy. However, due to the point spread function (PSF) of the TPLSM setup, quantification...