Optimized holographic optical traps

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

doi:10.1364/OPEX.13.005831

Optimized holographic optical traps

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

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	5831-5845
Number of pages	15
Journal	Optics Express
Volume	13
Issue number	15
DOIs	https://doi.org/10.1364/OPEX.13.005831
State	Published - Jul 25 2005

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics

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10.1364/OPEX.13.005831

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title = "Optimized holographic optical traps",

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.",

author = "Marco Polin and Kosta Ladavac and Lee, {Sang Hyuk} and Yael Roichman and Grier, {David G.}",

year = "2005",

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AU - Polin, Marco

AU - Ladavac, Kosta

AU - Lee, Sang Hyuk

AU - Roichman, Yael

AU - Grier, David G.

PY - 2005/7/25

Y1 - 2005/7/25

N2 - 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.

AB - 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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M3 - Article

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Optimized holographic optical traps

Abstract

ASJC Scopus subject areas

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