Neuromorphic camera and machine learning aid nanoscopic imaging

Neuromorphic camera and machine learning aid nanoscopic imaging

by Indian Institute of Science

Transformation of cumulative probability density of ON and OFF processes allows localisation below the limit of classical single particle detection. Credit: Mangalwedhekar et al

In a new study, researchers at the Indian Institute of Science (IISc) show how a 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. Their novel technique, which combines optical microscopy with a neuromorphic camera and machine learning algorithms, presents a major step forward in pinpointing objects smaller than 50 nanometers in size. The results are published in Nature Nanotechnology.

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