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Updated: Jul 16, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
Published on: February 8, 2014
Inverse-problem approach for particle digital holography: accurate location based on local optimization
Ferréol Soulez1, Loïc Denis, Corinne Fournier
1Université de Lyon, Lyon, F-69000, France; Université Lyon 1, Villeurbanne, F-69622, France. ferreol.soulez@obs.univ-lyon1.fr
We developed a new digital holography method for precise microparticle localization. This inverse-problem approach overcomes limitations of traditional techniques, improving depth accuracy and edge particle detection.
Area of Science:
- Optics and Photonics
- Biomedical Imaging
- Computational Imaging
Background:
- Conventional digital holography methods, often relying on Fresnel transforms, suffer from twin-image noise and border effects.
- Accurate microparticle localization is crucial for various scientific and industrial applications.
Purpose of the Study:
- To introduce a novel microparticle localization scheme in digital holography.
- To overcome the limitations of existing Fresnel transform-based methods.
Main Methods:
- An inverse-problem approach is proposed to determine the optimal particle set matching the hologram.
- The global optimization problem is solved using particle detection followed by local refinement.
Main Results:
- Significant improvements in microparticle localization accuracy were observed for both simulated and real digital holograms.
- Position precision exceeded or equaled 1 micrometer root mean square (rms) in simulations.
- Localization precision remained high even for particles near the edge of the field of view.
Conclusions:
- The proposed inverse-problem approach offers a robust solution for microparticle localization in digital holography.
- This method enhances accuracy, particularly in the depth dimension, and maintains performance for edge particles.
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