41 citations · 88 across the 11 of their papers we have counts for
7 papers · 1 filter
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…
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…
Optics-free imaging of complex, non-sparse QR-codes with Deep Neural Networks
Evan Scullion, Soren Nelson, Rajesh Menon
We demonstrate optics-free imaging of complex QR-codes using a bare image sensor and a trained artificial neural network (ANN). The ANN is trained to interpret the raw sensor data…
Computational Cannula Microscopy of neurons using Neural Networks
Ruipeng Guo, Zhimeng Pan, Andrew Taibi +2
Computational Cannula Microscopy is a minimally invasive imaging technique that can enable high-resolution imaging deep inside tissue. Here, we apply artificial neural networks to…
Learning Wavefront Coding for Extended Depth of Field Imaging
Ugur Akpinar, Erdem Sahin, Monjurul Meem +2
Depth of field is an important factor of imaging systems that highly affects the quality of the acquired spatial information. Extended depth of field (EDoF) imaging is a challengin…