Super-resolution optical microscopy is a rapidly evolving area of fluorescence microscopy with a tremendous potential for impacting many fields of science. Several super-resolution methods have been developed over the last decade, all capable of overcoming the fundamental diffraction limit of light. We present here an approach for obtaining subdiffraction limit optical resolution in all three d...

The aim of this paper is to prove that we can achieve a resolution enhancement in detecting a target inclusion if it is surrounded by an appropriate structured medium. The physical notions of resolution and focal spot are revisited. Indeed, the resolution enhancement is estimated in terms of the material parameters of the structured medium.

Many source separation algorithms fail to deliver robust performance when applied to signals recorded using high-density sensor arrays where the distance between sensor elements is much less than the wavelength of the signals. This can be attributed to limited dynamic range (determined by analog-to-digital conversion) of the sensor which is insufficient to overcome the artifacts due to large cr...

A novel strategy for modulating the photophysics of organic dyes in super-resolution fluorescence imaging using an external magnetic field was reported. The magnetic field induced increase in fluorescence intensity, localization number of probe molecules, and the number of photons emitted per molecule as compared to those acquired without a magnetic field were experimentally confirmed. Improved...

In this paper, a new approach is presented for improving image quality. It provides a new outlook on how to apply the enhancment methods on images. Image enhancement techniques may deal with the  illumination, resolution, or distribution of pixels values. Issues such as the illumination of the scene and reflectance of objects affect on image captures. Generally, the pixels value of an image is ...

Based on Relational Exchange Theory (RET), this paper explores the dual role in offshore sourcing as experienced by an Irish software development company. As part of a large US based company, the Irish site acts as a “bridge” in their offshoring practices. While the US site offshores work to Ireland, the Irish site – acting as the bridge – offshores work further to India. Hence, the Irish site ...

Deep learning has been used in inverse synthetic aperture radar (ISAR) imaging to improve resolution performance, but there still exist some problems: the loss of weak scattering points, over-smoothed results, and universality generalization. To address these problems, an ISAR enhancement method exploiting a generative adversarial network (GAN) is proposed this paper. We adopt relativistic aver...

Satellite images are being used in many fields of research. One of the major issues of these types of images is their resolution. In this paper, we propose a new satellite image resolution enhancement technique based on the interpolation of the high-frequency subbands obtained by discrete wavelet transform(DWT) and the input image. The proposed resolution enhancement technique uses DWT to decom...