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 ...

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 ...

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 ...

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 ...

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, ...

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

Ricardo Nunes Bastos from Oxford Nanoimaging (ONI) discusses how lipid nanoparticles are redefining drug delivery and highlights new imaging tools that are unlocking the delivery vehicles’ full ...

Converting low-resolution images to high-resolution images is one thing that Photoshop can help with. Low-resolution images can make any project difficult as they can be hard to correct.

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