Researchers from North Carolina State University have demonstrated a technique that can determine whether bricks – the common building material – have ever been near a radiological source, and identify the specific type of source, such as high enriched uranium or plutonium. The technique is possible when there are no chemical residues left behind, and has security and nuclear nonproliferation applications. (more…)
IBM scientists will collaborate with the Icahn School of Medicine at Mount Sinai to test on prostate cancer
Yorktown Heights, N.Y. – 01 Aug 2016: IBM scientists have developed a new lab-on-a-chip technology that can, for the first time, separate biological particles at the nanoscale and could help enable physicians to detect diseases such as cancer before symptoms appear. (more…)
Lightweight, compact device converts an ordinary smartphone into an advanced fluorescence microscope
Fluorescence microscopes use technology that enables them to accomplish tasks not easy to achieve with normal light microscopes, including imaging DNA molecules to detect and diagnose cancer, nervous system disorders such as Alzheimer’s disease, and drug resistance in infectious diseases. (more…)
What is believed to be the smallest force ever measured has been detected by researchers with the Lawrence Berkeley National Laboratory (Berkeley Lab) and the University of California (UC) Berkeley. Using a combination of lasers and a unique optical trapping system that provides a cloud of ultracold atoms, the researchers measured a force of approximately 42 yoctonewtons. A yoctonewton is one septillionth of a newton and there are approximately 3 x 1023 yoctonewtons in one ounce of force. (more…)
To help clean up an oil spill or any other kind of environmental disaster, sometimes humans can learn a thing or two from nature.
A team of researchers from the Michigan State University College of Engineering is creating a kind of robotic sensor that could eventually be used to collect environmental pollution data from rivers, streams and lakes. (more…)
UA computer scientists John Kececioglu and Dan DeBlasio are developing improved software that provides biologists with much more accurate results when analyzing sequence data.
Imagine trying to construct a brick building with fewer than the requisite number of bricks and without a detailed blueprint.
Welcome to the world of computational biologists.
When biologists study proteins, DNA, or other biological molecules that are represented in the computer as sequences, they rely on known information but also must predict missing data. Given that reality, major challenges exist to having accurate results. (more…)
Are you allergic to peanuts and worried there might be some in that cookie? Now you can find out using a rather unlikely source: your cell phone.
A team of researchers from the UCLA Henry Samueli School of Engineering and Applied Science has developed a lightweight device called the iTube, which attaches to a common cell phone to detect allergens in food samples. The iTube attachment uses the cell phone’s built-in camera, along with an accompanying smart-phone application that runs a test with the same high level of sensitivity a laboratory would. (more…)
ANN ARBOR, Mich.— Using a liquid laser, University of Michigan researchers have developed a better way to detect the slight genetic mutations that might predispose a person to a particular type of cancer or other diseases.
Their results are published in the current edition of the German journal Angewandte Chemie. (more…)
