Optimized holographic optical traps
Marco Polin, Kosta Ladavac, Sang-Hyuk Lee, Yael Roichman, David G., Grier
TL;DR
This paper presents methods to optimize the efficiency and accuracy of holographic optical traps, enabling real-time adaptive control through an optimal statistical approach for performance characterization.
Contribution
It introduces novel optimization techniques and a statistical framework for enhancing holographic optical traps' performance in real-time applications.
Findings
Improved trapping efficiency and accuracy.
Real-time adaptive optimization capability.
Enhanced performance characterization methods.
Abstract
Holographic optical traps use the forces exerted by computer-generated holograms to trap, move and otherwise transform mesoscopically textured materials. This article introduces methods for optimizing holographic optical traps' efficiency and accuracy, and an optimal statistical approach for characterizing their performance. This combination makes possible real-time adaptive optimization.
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