121 citations · 576 across the 29 of their papers we have counts for
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Machine Learning enables Ultra-Compact Integrated Photonics through Silicon-Nanopattern Digital Metamaterials
Sourangsu Banerji, Apratim Majumder, Alex Hamrick +2
In this work, we demonstrate three ultra-compact integrated-photonics devices, which are designed via a machine-learning algorithm coupled with finite-difference time-domain (FDTD)…
A needle-based deep-neural-network camera
Ruipeng Guo, Soren Nelson, Rajesh Menon
We experimentally demonstrate a camera whose primary optic is a cannula (diameter=0.22mm and length=12.5mm) that acts a lightpipe transporting light intensity from an object plane…
Classification of optics-free images with deep neural networks
Soren Nelson, Rajesh Menon
The thinnest possible camera is achieved by removing all optics, leaving only the image sensor. We train deep neural networks to perform multi-class detection and binary classifica…
Super-resolution imaging with an achromatic multi-level diffractive microlens array
Sourangsu Banerji, Monjurul Meem, Apratim Majumder +2
Compound eyes found in insects provide intriguing sources of biological inspiration for miniaturized imaging systems. Inspired by such insect eye structures, we demonstrate an ultr…
Free-form broadband flat lenses for visible imaging
Monjurul Meem, Apratim Majumder, Rajesh Menon
In the absence of separate apertures, the size and focal length of a lens determines both its resolution and light-collection ability defined by numerical-aperture (NA) and f/#, re…
3D Computational Cannula Fluorescence Microscopy enabled by Artificial Neural Networks
Ruipeng Guo, Zhimeng Pan, Andrew Taibi +2
Computational Cannula Microscopy (CCM) is a high-resolution widefield fluorescence imaging approach deep inside tissue, which is minimally invasive. Rather than using conventional…