323 citations · 2.4k across the 35 of their papers we have counts for
38 papers
Non-Destructive, High-Resolution, Chemically Specific, 3D Nanostructure Characterization using Phase-Sensitive EUV Imaging Reflectometry
Michael Tanksalvala, Christina L. Porter, Yuka Esashi +22
Next-generation nano and quantum devices have increasingly complex 3D structure. As the dimensions of these devices shrink to the nanoscale, their performance is often governed by…
Fast non-iterative algorithm for 3D point-cloud holography
Nathan Tessema Ersaro, Cem Yalcin, Liz Murray +3
Recently developed iterative and deep learning-based approaches to computer-generated holography (CGH) have been shown to achieve high-quality photorealistic 3D images with spatial…
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
BiPMAP: A Toolbox for Predictions of Perceived Motion Artifacts on Modern Displays
Guanghan Meng, Dekel Galor, Laura Waller +1
Presenting dynamic scenes without incurring motion artifacts visible to observers requires sustained effort from the display industry. A tool that predicts motion artifacts and sim…
Dynamic Structured Illumination Microscopy with a Neural Space-time Model
Ruiming Cao, Fanglin Linda Liu, Li-Hao Yeh +1
Structured illumination microscopy (SIM) reconstructs a super-resolved image from multiple raw images captured with different illumination patterns; hence, acquisition speed is lim…
Dancing under the stars: video denoising in starlight
Kristina Monakhova, Stephan R. Richter, Laura Waller +1
Imaging in low light is extremely challenging due to low photon counts. Using sensitive CMOS cameras, it is currently possible to take videos at night under moonlight (0.05-0.3 lux…