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

TLDR: In this article, the authors proposed a microparticle localization scheme in digital holography based on the inverse-problems approach, which yields the optimal particle set that best models the observed hologram image and resolves this global optimization problem by conventional particle detection followed by a local refinement for each particle.

Abstract: 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 > or =1 microm rms Our results also show that the localization precision does not deteriorate for particles near the edge of the field of view