Scientists and natural resource managers from Canadian First Nations, governments, academic institutions, and conservation organizations published the first results of a unique salmon population monitoring tool in Frontiers ...
Holograms that offer a three-dimensional (3D) view of objects provide a level of detail that is unattainable by regular two-dimensional (2D) images. Due to their ability to offer a realistic and immersive experience of 3D ...
Recent studies have found that Gires-Tournois (GT) biosensors, a type of nanophotonic resonator, can detect minuscule virus particles and produce colorful micrographs (images taken through a microscope) of viral loads. But ...
Tropical forests are among the most important habitats on our planet. They are characterized by extremely high species diversity and play an eminent role in the global carbon cycle and the world climate. However, many tropical ...
Penn State College of Medicine researchers are using advanced imaging techniques to study how life functions at the atomic, cellular, tissue and organism levels. These research projects are driven by diseases observed in ...
Volumetric fluorescence microscopy is an indispensable tool for comprehensive studies of cells and organs. Since the specimens are inherently three-dimensional (3D), the optimal imaging system should possess high spatial ...
For the first time, big data and artificial intelligence are being used to model hidden patterns in nature—not just for one bird species, but for entire ecological communities across continents.
For reasons of food security and economic incentive, farmers continuously seek to maximize their marketable crop yields. As plants grow inconsistently, at the time of harvesting, there will inevitably be variations in quality ...
Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations.
Artificial intelligence (AI) can help plant scientists collect and analyze unprecedented volumes of data, which would not be possible using conventional methods. Researchers at the University of Zurich (UZH) have now used ...
