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 ...

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 ...

Understanding how cells are organized and how their molecular components interact in a coordinated and cooperative manner is a central goal of modern life sciences. To answer these questions, ...

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, ...

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 ...

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 ...

Why it matters: AI-based image upscaling techniques from Nvidia, AMD, and Intel have become increasingly useful for improving game performance and image quality. However, competition between GPU ...

Nvidia is updating and releasing a few upscaling utilities to compete against AMD’s FidelityFX Super Resolution (FSR). The main feature is called Nvidia Image Scaling, and although it has been ...

Deep Learning Dynamic Super Resolution was added in the latest driver for RTX cards Deep Learning Dynamic Super Resolution was added in the latest driver for RTX cards DLDSR builds on Nvidia’s Dynamic ...