Digital holography of particles: benefits of the “inverse problem” approach

Jérôme Gire 1, 2 Loïc Denis 2 Corinne Fournier 2 Éric Thiébaut 1 Ferréol Soulez 1, 2 Christophe Ducottet 2
1 CRAL - Centre de Recherche Astrophysique de Lyon
2 LHC - Laboratoire Hubert Curien [Saint Etienne]
Abstract : The potential of in-line digital holography to locate and measure the size of particles distributed throughout a volume (in one shot) has been established. These measurements are fundamental for the study of particle trajectories in fluid flow. The most important issues in digital holography today are poor depth positioning accuracy, transverse field-of-view limitations, border artifacts and computational burdens. We recently suggested an ‘inverse problem' approach to address some of these issues for the processing of particle digital holograms. The described algorithm improves axial positioning accuracy, gives particle diameters with sub-micrometer accuracy, eliminates border effects and increases the size of the studied volume. This approach for processing particle holograms pushes back some classical constraints. For example, the Nyquist criterion is no longer a restriction for the recording step and the studied volume is no longer confined to the field of view delimited by the sensor borders. In this paper we present a review of the limitations commonly found in digital holography. We then discuss the benefits of the ‘inverse problem' approach and the influence of some experimental parameters in this framework.
Keywords : digital holography in-line holography inverse problem ghost images border effects signal-to-noise ratio
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Journal articles
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https://hal-ujm.archives-ouvertes.fr/ujm-00270818
Contributor : Loïc Denis <>
Submitted on : Wednesday, June 4, 2008 - 2:34:08 PM
Last modification on : Friday, April 5, 2019 - 8:04:53 PM
Long-term archiving on : Tuesday, September 21, 2010 - 4:23:01 PM

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Jérôme Gire, Loïc Denis, Corinne Fournier, Éric Thiébaut, Ferréol Soulez, et al.. Digital holography of particles: benefits of the “inverse problem” approach. Measurement Science and Technology, IOP Publishing, 2008, 19, pp.074005. ⟨10.1088/0957-0233/19/7/074005⟩. ⟨ujm-00270818v2⟩

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