Software-Driven Sensor Array Delivers Sub-Micron, Lens-Free Imaging
University of Connecticut researchers led by Guoan Zheng introduced MASI, a lens-free imaging system that uses an array of coded sensors to record diffraction data and relies on post-capture software to align and reconstruct a virtual, larger aperture. This avoids precise hardware synchronization and lenses, delivering sub-micron resolution over a wide field of view at visible wavelengths. The scalable, computation-driven approach could enable advances in medicine, forensic science, industrial inspection, and remote sensing.