Tag: EPFL
SPOT-RVC: A high-precision instrument for ophthalmologists
EPFL scientists have helped develop a microscopic glass device that doctors could use to inject medicine into retinal veins with unprecedented accuracy. Their instrument meets an important need in eye surgery, delivering exceptional stability and precision.
Universal algorithm set to boost microscopes
An universal algorithm that can determine whether a super-resolution microscope is operating at a maximum resolution based on a single image.
How our biological clocks are locked in sync
Scientists from EPFL's Institute of Bioengineering have discovered that our circadian clock and our cell-cycle are in fact, synchronized.
Smart Greenhouse lets you grow vegetables in your apartment
Two EPFL Master’s students have co-developed a technology for growing a small garden right in your home or office. They launched a startup to market their smart indoor greenhouses and installed prototypes at EPFL with the support of the Act for Change LAB platform.
More attractive and high performance membranes for carbon Capture
CO2 is a major greenhouse gas, responsible for global warming. CO2 released from burning fossil fuels in the atmosphere is the primary source of...
New chemical-based method for recycling PET
Polyethylene terephthalate (PET) is one of the most widely used plastics today. PET bottles are ubiquitous in our day-to-day lives–one has to look around...
Automated microscope gives a look inside live cell populations
EPFL scientists have recently come up with a next-generation microscope that can show live cells function and react under various experimental conditions. Called as...
A new wastewater treatment that concentrates nitrogen for fertilizer
Two EPFL Master’s in Environmental Engineering students adapted a system typically used to concentrate fruit juice and tested it out at the Yverdon-les-Bains wastewater treatment plant in Vaud.
The way a single neuron processes information is never the same
Researchers at Blue Brain have discovered that dendrites, the neuron’s tree-like receptors, work together – dynamically and depending on the workload – for learning. The findings further our understanding of how we think and may inspire new algorithms for artificial intelligence.
