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 ...

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 ...

Scientists at the Center for Cell Dynamics, School of Biological and Behavioral Sciences, Queen Mary University of London, in collaboration with Carl Zeiss, have developed an innovative live-cell ...

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 ...

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 ...

There is a growing demand for non-invasive insights into the complex three-dimensional subcellular dynamics within living tissues at the frontier of biological research. Professor Xi Peng's group at ...

A new study co-led by an Oregon Health & Science University researcher describes a breakthrough in microscopy tools that ...

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.