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 ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
Scientists have revolutionized microscopy imaging with μSAM, a cutting-edge AI tool that surpasses existing methods, making complex biological image segmentation faster, more precise, and accessible ...
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 ...
Raman imaging microscopy is well on its way to completing its evolution from specialized tool to standard analytical technique. This progression can be seen in the steady increase in the overall ...
Observing individual cells through microscopes can reveal a range of important cell biological phenomena that frequently play a role in human diseases, but the process of distinguishing single cells ...
UC Santa Cruz researchers’ tool creates ‘synthetic’ images of cells for enhanced microscopy analysis
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 ...
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 ...
Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out ...
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