Optimized holographic optical traps

Marco Polin*, Kosta Ladavac, Sang Hyuk Lee, Yael Roichman, David G. Grier

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)5831-5845
Number of pages15
JournalOptics Express
Volume13
Issue number15
DOIs
StatePublished - 25 Jul 2005
Externally publishedYes

Funding

FundersFunder number
National Science Foundation
Directorate for Mathematical and Physical Sciences0451589

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