Development of full volume digital holography for particle measurement

Murata, Shigeru; Yasuda, Norifumi

doi:10.1299/jsmemecjo.2000.4.0_153

Cited by 3 publications

(3 citation statements)

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“…Along with several automated data extraction methods suitable for practical use, [9][10][11]17 the proposed techniques can be regarded as additional computational tools for object reconstruction that can be useful when a separate depth extraction stage is desired to be avoided.…”

Section: Resultsmentioning

confidence: 99%

Object reconstruction from in-line Fresnel holograms without explicit depth focusing

Özgen

Tuncer

2004

Opt. Eng

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We propose two computational techniques for extracting object cross-sectional shape information from digitized in-line Fresnel holograms that do not require prior knowledge of object depths but recover relative depth information along the way. The first algorithm is applicable to hologram segments involving a single particle only. It is based on estimating Fourier transform magnitude and phase of the particle from those of the hologram segment. The second algorithm conducts a joint inverse filtering and depth search procedure so as to minimize (or maximize) a binariness (or a concentration) criterion defined over the output object function. It is applicable to multiple-particle, multiexposure holograms as well. The proposed techniques are illustrated on synthesized holograms and their practical limitations are discussed.

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Section: Resultsmentioning

confidence: 99%

Object reconstruction from in-line Fresnel holograms without explicit depth focusing

Özgen

Tuncer

2004

Opt. Eng

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“…For determining the particle positions in the reconstructed volume of light intensity, our previous papers presented some estimators and criteria for the detection of particle positions, for example, the particle position was defined as the position where the reconstructed light intensity is locally minimum. In this study, a 3D template (13) is employed for obtaining particle images in the 3D volume of the reconstructed light intensity. The template is numerically constructed for a single particle using a numerical hologram in which 100 particles are recorded and then by overlapping reconstructed images for 100 particles to obtain the volume of the averaged light intensity for a single particle.…”

Section: Detection Of Particle Positionmentioning

confidence: 99%

Three-Dimensional Flow Measurement by Digital Holographic Particle Image Velocimetry with Spatio-Temporal Derivative Method (Evaluation of the Measurement Accuracy by Numerical Simulation)

Yamaguchi

Murata

Morihara

2006

JSME Int. J., Ser. B

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In this paper, we present a digital holographic particle image velocimetry (DHPIV) technique with a spatio-temporal derivative method for velocity measurement in 3D space and the results of evaluating on its measurement accuracy. In this technique, hologram patterns are observed as digital images using an electronic camera, such as CCD or CMOS, and image reconstruction is carried out on a personal computer. Since an in-line observation system is utilized in conventional digital holography, a numerically reconstructed image is considerably enlarged in the depth direction and its depth resolution is extremely low; hence, the measurement accuracy in the depth direction is inaccurate in a digital holographic measurement. To overcome this difficulty, we apply a spatio-temporal derivative method to this technique for the detection of particle displacement along the z-axis. In a numerical simulation, measurement accuracy is evaluated for a multi particle model and a cubic cavity flow model. Furthermore, we examine the effect of noise on displacement measurement accuracy for numerically constructed noisy hologram patterns.

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“…The segmentation step consists of finding the location of each particle in the reconstructed 3-D distribution. The segmentation can be obtained by analyzing the gray levels in the volume (thresholding) 9,10 . Some authors also build their analysis on the reconstructed complexamplitude 11 .…”

Section: Introductionmentioning

confidence: 99%

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

et al. 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 > 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.

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Development of full volume digital holography for particle measurement

Cited by 3 publications

References 0 publications

Object reconstruction from in-line Fresnel holograms without explicit depth focusing

Object reconstruction from in-line Fresnel holograms without explicit depth focusing

Three-Dimensional Flow Measurement by Digital Holographic Particle Image Velocimetry with Spatio-Temporal Derivative Method (Evaluation of the Measurement Accuracy by Numerical Simulation)

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

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