Based on an interferometric spatial autocorrelation of two shifted point-spread functions combined with confocal detection, we demonstrate that the point-spread autocorrelation function technique provides improved axial resolution compared with conventional confocal imaging. The principle of the technique is demonstrated for a one-sided f luorescing step object.

We consider the image reconstruction problem when the original image is assumed to be sparse and when partial knowledge of the point spread function (PSF) is available. In particular, we are interested in recovering the magnetization density given magnetic resonance force microscopy (MRFM) data, and we present an iterative alternating minimization algorithm (AM) to solve this problem. A smoothi...

As a result of the shallow depth of focus of the optical imaging system, the use of standard filtered back projection in optical projection tomography causes space-variant tangential blurring that increases with the distance to the rotation axis. We present a novel optical tomographic image reconstruction technique that incorporates the point spread function of the imaging lens in an iterative ...

This paper presents an image resolution enhancement algorithm using spatially invariant point spread function. Point spread function is used to constrain the solution space. This parameter is computed at each iteration step using partially restored image at each iteration, and High pass filter is used to impose the degree of edge smoothness on the solution. The resulting iterative algorithm exh...

We present a method for estimating the point spread function of a terahertz imaging system designed to operate in reflection mode. The method is based on imaging phantoms with known geometry, which have patterns with sharp edges at all orientations. The point spread functions are obtained by a deconvolution technique in the Fourier domain. We validate our results by using the estimated point sp...

Layered metal-dielectric metamaterials have filtering properties both in the frequency domain and in the spatial frequency domain. Engineering their spatial filtering response is a way of designing structures with specific diffraction properties for such applications as sub-diffraction imaging, supercollimation, or optical signal processing at the nanoscale. In this paper we review the recent p...

The need for interpolation between pixels arises in many contexts. Kriging provides a general theory for optimal linear interpolation, which can be implemented and interpreted in either spatial or frequency domains. Of critical importance is knowledge of the autocorrelation function of the image at sub-pixel distances or, equivalently, the form of the spectrum near the Nyquist frequency. Althou...

Retinal imaging often suffers from blurring aberrations. With knowledge of the blurring point spread function (PSF), better images can be reconstructed by deconvolution techniques. We demonstrate a method to enhance the contrast of retinal cells by estimating the ocular PSF. This is done by finding the cells' positions and their intensity distributions and using these as a model for the image. ...

Super-resolution microscopy has revolutionized cellular imaging in recent years1-4. Methods relying on sequential localization of single point emitters enable spatial tracking at ~10-40 nm resolution. Moreover, tracking and imaging in three dimensions is made possible by various techniques, including point-spread-function (PSF) engineering5-9 -namely, encoding the axial (z) position of a point ...