323 citations · 2.4k across the 35 of their papers we have counts for
6 papers · 1 filter
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop
Michael Kellman, Jon Tamir, Emrah Boston +2
Computational imaging systems jointly design computation and hardware to retrieve information which is not traditionally accessible with standard imaging systems. Recently, critica…
High-resolution 3D refractive index microscopy of multiple-scattering samples from intensity images
Shwetadwip Chowdhury, Michael Chen, Regina Eckert +4
Optical diffraction tomography (ODT) reconstructs a samples volumetric refractive index (RI) to create high-contrast, quantitative 3D visualizations of biological samples. However,…
Learned reconstructions for practical mask-based lensless imaging
Kristina Monakhova, Joshua Yurtsever, Grace Kuo +3
Mask-based lensless imagers are smaller and lighter than traditional lensed cameras. In these imagers, the sensor does not directly record an image of the scene; rather, a computat…
Video from Stills: Lensless Imaging with Rolling Shutter
Nick Antipa, Patrick Oare, Emrah Bostan +2
Because image sensor chips have a finite bandwidth with which to read out pixels, recording video typically requires a trade-off between frame rate and pixel count. Compressed sens…
Data-Driven Design for Fourier Ptychographic Microscopy
Michael Kellman, Emrah Bostan, Michael Chen +1
Fourier Ptychographic Microscopy (FPM) is a computational imaging method that is able to super-resolve features beyond the diffraction-limit set by the objective lens of a traditio…
Computational structured illumination for high-content fluorescent and phase microscopy
Li-Hao Yeh, Shwetadwip Chowdhury, Laura Waller
High-content biological microscopy targets high-resolution imaging across large fields-of-view (FOVs). Recent works have demonstrated that computational imaging can provide efficie…