Optimized holographic optical traps

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

    Research output: Contribution to journalArticlepeer-review


    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 (US)
    Pages (from-to)5831-5845
    Number of pages15
    JournalOptics Express
    Issue number15
    StatePublished - Jul 25 2005

    ASJC Scopus subject areas

    • Atomic and Molecular Physics, and Optics


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