123 citations · 150 across the 5 of their papers we have counts for
6 papers
Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform
Alexia Stollmann, Jose Garcia-Guirado, Jae-Sang Hong +4
Label-free detecting multiple analytes in a high-throughput fashion has been one of the long-sought goals in biosensing applications. Yet, for all-optical approaches, interfacing s…
Agent Spaces
John C. Raisbeck, Matthew W. Allen, Hakho Lee
Exploration is one of the most important tasks in Reinforcement Learning, but it is not well-defined beyond finite problems in the Dynamic Programming paradigm (see Subsection 2.4)…
Precise nanosizing with high dynamic range holography
Unai Ortiz-Orruño, Ala Jo, Hakho Lee +2
Optical sensing is one of the key-enablers of modern diagnostics. Especially label-free imaging modalities hold great promise as they eliminate labeling procedures prior to analysi…
Evolution Strategies Converges to Finite Differences
John C. Raisbeck, Matthew Allen, Ralph Weissleder +2
Since the debut of Evolution Strategies (ES) as a tool for Reinforcement Learning by Salimans et al. 2017, there has been interest in determining the exact relationship between the…
High-throughput intensity diffraction tomography with a computational microscope
Ruilong Ling, Waleed Tahir, Hsing-Ying Lin +2
We demonstrate a motion-free intensity diffraction tomography technique that enables direct inversion of 3D phase and absorption from intensity-only measurements for weakly scatter…
Integrated Cell Manipulation Systems
Hakho Lee, Yong Liu, Donhee Ham +1
A new type of microfluidic system for biological cell manipulation, a CMOS/microfluidic hybrid, is demonstrated. The hybrid system starts with a custom-designed CMOS (complementary…