A team of researchers from the Instituto Gulbenkian de Ciência (IGC) in Portugal, together with Åbo Akademi University in Finland, the AI4Life consortium, and other collaborators, have developed an ...
Discover how Imaris 11 streamlines image analysis with automated workflows, reproducibility tools, and powerful batch ...
A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...
(Nanowerk News) Researchers have developed a groundbreaking platform that empowers life scientists to harness cutting-edge, deep learning techniques for biomedical research. The platform is called ...
This review outlines the potential of smart microscopy to transform biological imaging through adaptive systems that optimize ...
A team of researchers from the Instituto Gulbenkian de Ciência (IGC) in Portugal, together with Åbo Akademi University in Finland, the AI4Life consortium, and other collaborators, have developed an ...
Frank Mücklich, Professor of Functional Materials at Saarland University, explained that years of research were required to train the AI system so that it could not only recognize different patterns ...
With Raman microscopy, there's an additional layer of complexity: fluorescence. Particle fluorescence can overwhelm the Raman ...
An example of a cell image before and after segmentation, a process which allows researchers to distinguish single cells from each other and their background. Manually finding and labeling the ...
Leica Microsystems, a leading provider of microscopy and scientific instrumentation, has released the latest version of its AI-driven image analysis software. Aivia 15 empowers scientists to set up ...