Image super-resolution techniques aim to reconstruct high-resolution images from their low-resolution counterparts, addressing challenges in both scientific imaging and everyday applications. These ...

Researchers of CIDIS at ESPOL Polytechnic University have developed a new method to enhance thermal image super-resolution by employing synthetic imagery. This novel approach utilizes high-resolution ...

A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral similarity with global ...

New methods to improve super-resolution imaging techniques are giving biologists a clearer and more complete view of the inner workings of living cells. A new paper in Nature Biotechnology from the ...

Digital images begin with a fixed number of pixels in a two-dimensional grid. AI super resolution uses machine learning (ML) algorithms to infer from an original image ways that more pixels may be ...

When trying to measure molecular structures with nanometer precision, every bit of noise shows up in the data: someone walking past the microscope, tiny vibrations in the building and even the traffic ...

To unravel the complexities of biological phenomena, scientists have long relied on microscopy to visualize the intricate details of their specimens, including tissue architecture, cell morphology, ...

Christophe Leterrier uses advanced microscopy to uncover neurons’ intricate nanostructure and dynamics while creating ...

This study presents MPALM, a novel microscopy technique that captures nanoscale biomolecular dynamics, overcoming limitations ...

Advancements in structured illumination and computational imaging are revolutionizing semiconductor wafer inspection, ...