Four Lincoln Laboratory technologies win five 2023 R&D 100 awards
Inventions in medical imaging, aircrew scheduling, data security, and quantum networking are named among the year’s most innovative new products.
Pixel-by-pixel analysis yields insights into lithium-ion batteries
In a first, researchers have observed how lithium ions flow through a battery interface, which could help engineers optimize the material’s design.
Laser-based system achieves noncontact medical ultrasound imaging
Noncontact Laser Ultrasound offers capabilities comparable to those of MRI and CT but at vastly lower cost, in an automated and portable platform.
Cracking the code that relates brain and behavior in a simple animal
MIT researchers model and create an atlas for how neurons of the worm C. elegans encode its behaviors, make findings available on their “WormWideWeb.”
MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans
The challenge involves more than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.
A new vision for ultrasound imaging
Ultrasound research specialist and 2023 MIT Excellence Award winner Nicole Henning adapts ultrasound technology for more sensitive, less invasive imaging for disease modeling.
A new dataset of Arctic images will spur artificial intelligence research
The dataset, being collected as part of a US Coast Guard science mission, will be released open source to help advance naval mission planning and climate change studies.
Coloring outside the lines
Mathias Kolle’s color-changing materials take inspiration from butterflies and mollusks.
A better way to match 3D volumes
By mapping the volumes of objects, rather than their surfaces, a new technique could yield solutions to computer graphics problems in animation and CAD.
Tiny diamond rotor could improve protein studies
A new way of machining microscale rotors from diamond crystal can enable ultrasensitive NMR devices for probing proteins and other materials.
Researchers use AI to identify similar materials in images
This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.
From molecular to whole-brain scale in a simple animal, study reveals serotonin’s effects
With full genetic control and visibility into neural activity and behavior, MIT scientists map out chemical’s role in behavior.
Using reflections to see the world from new points of view
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
Exploring the nanoworld of biogenic gems
Project will develop new materials characterization tools and technologies to assign unique identifiers to individual pearls.