MIT chemists develop a wireless electronic lateral flow assay test for biosensing
Design from the Swager Lab uses electronic polymers, rather than colored lines, to indicate a positive response, enabling quantitative monitoring of biomarkers.
Design from the Swager Lab uses electronic polymers, rather than colored lines, to indicate a positive response, enabling quantitative monitoring of biomarkers.
New research showcases a pilot application using seismometers to monitor groundwater aquifers in California.
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
The device senses and wirelessly transmits signals related to pulse, sweat, and ultraviolet exposure, without bulky chips or batteries.
Engineers 3D print materials with networks of sensors directly incorporated.
Inspired by a fiddler crab eye, scientists developed an amphibious artificial vision system with a panoramic visual field.
Cheap and quick to produce, these digitally manufactured plasma sensors could help scientists predict the weather or study climate change.
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
Researchers develop a comfortable, form-fitting fabric that recognizes its wearer’s activities, like walking, running, and jumping.
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
MIT engineers expand the capabilities of these ultrasensitive nanoscale detectors, with potential uses for quantum computing and biological sensing.
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
A distributed sensor network may help researchers identify the physical processes contributing to diminishing sea ice in the planet’s fastest-warming region.
A drive to understand natural science phenomena ignited MIT graduate student Changhao Li’s love of quantum physics.
The advance allows the particles to be placed deeper within biological tissue, which could aid with cancer diagnosis or monitoring.