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January 15, 2025
How cryogenic microscopy could help strengthen food security
A joint EPFL and University of Lausanne research team reports on a novel observation of a plant protection mechanism in response to salt stress. The study opens new avenues of research to strengthen food security.
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March 2, 2023
Scientists monitor wildlife to boost preservation efforts
To mark the tenth annual UN World Wildlife Day, we compiled a sample of EPFL research projects that are using technology to protect and preserve wildlife.
February 20, 2023
SNSF Grant to push further the observations of protein dynamics
The Laboratory of Molecular Nanodynamics is developing a cryo-electron microscopy method to observe moving proteins. The researchers, led by Ulrich Lorenz, received recently a Consolidator Grant from the SNSF with the aim of improving their method and making it easily accessible to other research gr
January 27, 2023
Ultrafast control of spins in a microscope
Researchers at EPFL have developed a new technique that can visualize and control the rotation of a handful of spins arranged in a vortex-like texture at the fastest speed ever achieved. The breakthrough can advance “spintronics”, a technology that includes new types of computer memory, logic gates,
January 18, 2023
SNSF-funded project enhances THG microscopy for materials imaging
A cross-disciplinary project involving three EPFL units – the Hub for Advanced Image Reconstruction, the Galatea Lab and the AudioVisual Communications Laboratory (LCAV) – has received a grant from the Swiss National Science Foundation (SNSF) to study methods for speeding image capture in non-linear
January 16, 2023
A tool to detect higher-order phenomena in real-world data
EPFL researchers have developed a novel approach to network analysis that allows them to reveal and interpret, for the first time, interactions among multiple variables in data from neuroscience, economics, and epidemiology.
December 15, 2022
Artificial intelligence deployed to enhance sports performance
EPFL researchers have teamed up with Dartfish and the Lausanne Hockey Club to push the boundaries of sports-performance analysis by applying computer vision and machine-learning technology to action on the ice.
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