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 ...

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 ...

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 ...

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 ...

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 single-molecule super-resolution microscopes were first commercialized some 15 years ago, they made headlines for their ability to resolve individual molecules and structures at the nanometer ...

“LiDAR sensors are often considered essential for autonomous driving, but high-resolution sensors remain expensive while affordable low-resolution sensors produce sparse point clouds that miss ...

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 ...