STAT reporter Alissa Ambrose spotlights the Koch Institute’s annual image awards, “which includes colorful images of micro needles, brain cells, and so-called mini livers.” Ambrose notes that the pictures are “stunning visualizations of life sciences and biomedical research being conducted to find treatments and cures for cancer.”
Researchers at MIT have determined why shaving causes everyday razors made of Martensitic stainless steel to wear down so quickly. “Now that researchers know why razors fail so quickly, they can start to develop steel without the same weaknesses,” notes Theresa Machemer for Smithsonian Magazine.
Using a scanning electron microscope, MIT researchers observed how hair produces tiny chips in steel razor blades, reports Nell Greenfieldboyce for NPR. "For me, personally, it was both a scientific curiosity, of 'What's going on?' and also aiming to solve an important engineering problem," says Prof. C. Cem Tasan.
By observing and recording the cutting process, MIT researchers have found that human hairs chip razor blades during the shaving process, reports Leah Crane for New Scientist. “We expected that the failure of these materials should just be wear,” says Prof. C. Cem Tasan. “But this is not the case: the process of chipping is much faster.”
Wired reporter Eric Niiler writes that a new study by MIT researchers sheds light on why razor blades get dull so quickly. “We want to design new materials that are better and go longer,” says Prof. C. Cem Tasan. “This problem of the blade is an excellent example. We are so used to it, you don’t think about it. You use the razor for a few weeks and then move on.”
MIT researchers have created a “new laser ultrasound technique [that] utilizes an eye and skin safe laser system to image the inside of a person remotely,” reports Jennifer Kite-Powell for Forbes.
Dr. Francis Collins, director of the NIH, details how MIT researchers have developed a new low-energy imaging approach called three-photon microscopy that allows exploration of all six layers of the visual cortex in a mammal’s brain. Collins notes that the researchers are proving themselves to be “biological explorers of the first order.”
WCVB-TV’s Mike Wankum visits the Edgerton Center and sits down with Associate Director James Bales to talk about the center’s work with high-speed imaging. The center offers an annual high-speed imaging course “that is geared for just about everyone,” Bales explains. “You will walk out of here knowing what you can and cannot do with the cameras.”
In an article for Forbes about how AI could improve healthcare, Bernard Marr highlights an algorithm developed by MIT researchers that can analyze 3-D scans up to 1,000 times faster than is currently possible. “When saving minutes can mean saving lives, AI and machine learning can be transformative,” writes Marr.
WCVB reporter Mike Wankum visits the Camera Culture Group at the MIT Media Lab to learn more about a device that uses photon imaging to see through dense fog. Wankum explains that the device can, “calculate how fog typically reflects laser light and then removes the fog from the equation, revealing an image hidden inside.”
Emily Matchar of Smithsonian details research out of the Media Lab, which seeks to help both autonomous and standard vehicles avoid obstacles in heavy fog conditions. “You’d see the road in front of you as if there was no fog,” says graduate student and lead researcher Guy Satat. “[O]r the car would create warning messages that there’s an object in front of you.”
MIT Media Lab researchers have created a system that can detect obstacles through fog that are not visible to the human eye, writes Darren Weaver for CNBC. “The goal is to integrate the technology into self-driving cars so that even in bad weather, the vehicles can avoid obstacles,” explains Warren.
MIT researchers have developed a new imaging system that could allow autonomous vehicles to see through dense fog, writes Andrew Liszewski of Gizmodo. The laser-based system, which used a new processing algorithm, was able “to clearly see objects 21 centimeters further away than human eyes could discern,” Liszewski writes.
MIT researchers have “discovered a slight difference in how humans produce the building blocks of DNA compared to how bacteria does it,” writes Fiona McMillan for Forbes. The comparison of human and bacterial enzymes “bodes well for the possible development of new antibiotics,” explains McMillan.
Graduate student Achuta Kadambi speaks with the BBC’s Gareth Mitchell about the new depth sensors he and his colleagues developed that could eventually be used in self-driving cars. “This new approach is able to obtain very high-quality positioning of objects that surround a robot,” Kadambi explains.