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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Editor: Stephen A. Burns
  • Vol. 24, Iss. 4 — Apr. 1, 2007
  • pp: 1164–1171

Inverse-problem approach for particle digital holography: accurate location based on local optimization

Ferréol Soulez, Loïc Denis, Corinne Fournier, Éric Thiébaut, and Charles Goepfert  »View Author Affiliations

JOSA A, Vol. 24, Issue 4, pp. 1164-1171 (2007)

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We propose a microparticle localization scheme in digital holography. Most conventional digital holography methods are based on Fresnel transform and present several problems such as twin-image noise, border effects, and other effects. To avoid these difficulties, we propose an inverse-problem approach, which yields the optimal particle set that best models the observed hologram image. We resolve this global optimization problem by conventional particle detection followed by a local refinement for each particle. Results for both simulated and real digital holograms show strong improvement in the localization of the particles, particularly along the depth dimension. In our simulations, the position precision is 1 μ m rms. Our results also show that the localization precision does not deteriorate for particles near the edge of the field of view.

© 2007 Optical Society of America

OCIS Codes
(090.1760) Holography : Computer holography
(100.2000) Image processing : Digital image processing
(100.3190) Image processing : Inverse problems
(100.5010) Image processing : Pattern recognition
(100.6640) Image processing : Superresolution

ToC Category:

Original Manuscript: July 14, 2006
Revised Manuscript: October 13, 2006
Manuscript Accepted: October 13, 2006
Published: March 14, 2007

Ferréol Soulez, Loïc Denis, Corinne Fournier, Éric Thiébaut, and Charles Goepfert, "Inverse-problem approach for particle digital holography: accurate location based on local optimization," J. Opt. Soc. Am. A 24, 1164-1171 (2007)

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