238 citations · 482 across the 11 of their papers we have counts for
10 papers · 1 filter
Untrained networks for compressive lensless photography
Kristina Monakhova, Vi Tran, Grace Kuo +1
Compressive lensless imagers enable novel applications in an extremely compact device, requiring only a phase or amplitude mask placed close to the sensor. They have been demonstra…
Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy
Kyrollos Yanny, Nick Antipa, William Liberti +6
Miniature fluorescence microscopes are a standard tool in systems biology. However, widefield miniature microscopes capture only 2D information, and modifications that enable 3D ca…
Fourier DiffuserScope: Single-shot 3D Fourier light field microscopy with a diffuser
Fanglin Linda Liu, Grace Kuo, Nick Antipa +2
Light field microscopy (LFM) uses a microlens array (MLA) near the sensor plane of a microscope to achieve single-shot 3D imaging of a sample without any moving parts. Unfortunatel…
Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array
Kristina Monakhova, Kyrollos Yanny, Neerja Aggarwal +1
Hyperspectral imaging is useful for applications ranging from medical diagnostics to agricultural crop monitoring; however, traditional scanning hyperspectral imagers are prohibiti…
How to do Physics-based Learning
Michael Kellman, Michael Lustig, Laura Waller
The goal of this tutorial is to explain step-by-step how to implement physics-based learning for the rapid prototyping of a computational imaging system. We provide a basic overvie…
Deep Phase Decoder: Self-calibrating phase microscopy with an untrained deep neural network
Emrah Bostan, Reinhard Heckel, Michael Chen +2
Deep neural networks have emerged as effective tools for computational imaging including quantitative phase microscopy of transparent samples. To reconstruct phase from intensity,…