Under the microscope lies a specimen of a liver. Deep in concentration, a student is analyzing the structure of the tissue when the university official asks her to finish up – the lab is about to ...

DURHAM, N.C. -- Engineers at Duke University have developed a microscope that adapts its lighting angles, colors and patterns while teaching itself the optimal settings needed to complete a given ...

Researchers have demonstrated that deep learning, a powerful form of artificial intelligence, can discern and enhance microscopic details in photos taken by smartphones. The technique improves the ...

There are now various attachments that allow you to capture microscope-scale images with your smartphone. Unfortunately, however, the limitations of the phone's lens and image sensor mean that those ...

Biology students at Dakota Wesleyan University have new technology to use when in the lab. Dr. Tim Mullican, professor of biology, says two recently purchased Richter microscopes with cameras will ...

A student-led organization at Minnesota State is bringing microbiology to life outside the classroom by creating a space where curiosity, collaboration and hands-on learning take centre stage.

Deep learning is a class of machine learning techniques that uses multi-layered artificial neural networks for automated analysis of signals or data. Beyond its main stream applications such as the ...

Sixteen chapters. Seven hundred pages. One summer. For most students, that workload in a human anatomy and physiology class would be daunting—especially with only a few short weeks to absorb it all.

When surgeons remove cancer, one of the first questions is, "Did they get it all?" Researchers from Rice University and the University of Texas MD Anderson Cancer Center have created a new microscope ...

The nanoscale X-ray imaging of biological samples could soon be routine in any lab thanks to a breakthrough by physicists in the US. The team has shown that lensless X-ray microscopes do not ...

Engineers have developed a microscope that adapts its lighting angles, colors and patterns while teaching itself the optimal settings needed to complete a given diagnostic task. In the initial ...