Brain-inspired image sensor
#GS 03 Science and Technology
For Prelims
Brain-inspired image sensor
- Brain-inspired image sensor can go beyond the diffraction limit of light to detect miniscule objects such as cellular components or nanoparticles invisible to current microscopes.
- This was discovered by scientists at Indian Institute of Science (IISc).
- This technique combines optical microscopy with a neuromorphic (computing inspired by structure and function of human brain) camera and machine learning algorithms.
- The camera interprets the signal as an “ON” event during an increase of light intensity and an “OFF” event when the light intensity decreases.
- The sensor measures roughly 40 mm in height by 60 mm in width by 25 mm in diameter, and weighs about 100 grams.
Advantages of the camera
- This technology can help in pinpointing objects smaller than 50 nanometers in size.
- This neuromorphic camera can mimic the way the human retina converts light into electrical impulses.
- These cameras have a very high dynamic range (>120 dB), which allows you to go from a very low-light environment to very high-light conditions.
- The combination of the asynchronous nature, high dynamic range, sparse data, and high temporal resolution of these cameras make them highly suitable for use in neuromorphic microscopy.
Source “Brain-inspired image sensor can detect miniscule objects: study“
