Optimized holographic optical traps

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

Research output: Contribution to journalArticlepeer-review

158 Scopus citations


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

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics

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