Study on high speed parallel algorithm using PC grid environment for visualization measurements by Digital Holographic Particle Tracking Velocimetry

Satake, Shin‐ichi; Anraku, Takafumi; Kanamori, Hiroyuki; Kunugi, Tomoaki; Sato, Kaname; Ito, Tomoyoshi

doi:10.1016/j.cpc.2007.07.006

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…The speed up advantage gained by a cluster of computers is therefore strictly linear with the number of processor cores as long as the shared filesystem is not overburdened with loading code and saving results. Satake et al (2008) supports this conclusion although on a small scale computer cluster.…”

Section: Reconstructing On a Computer Clustersupporting

confidence: 57%

“…Also, there is little discussion in the literature of the challenge of processing large numbers of holograms in an automated, robust way to gain some scientific insight into a physical problem. There has been some recent work on how to efficiently process holograms: Masuda et al (2006) describe a specialized computer to reconstruct holograms; Satake et al (2007Satake et al ( , 2008 describe parallel algorithms to reconstruct holograms on a shared-memory super computer and a PC computer cluster; and Shimobaba et al (2008) describe a way to reconstruct holograms on a GPU (graphics processing unit) much faster than the counterpart CPU.…”

Section: Introductionmentioning

confidence: 99%

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Practical methods for automated reconstruction and characterization of particles in digital in-line holograms

Fugal

Schulz

Shaw

2009

Meas. Sci. Technol.

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Hologram reconstruction algorithms often undersample the phase in propagation kernels for typical parameters of holographic optical setups. Given in this paper is an algorithm that addresses this phase undersampling in reconstructing digital in-line holograms of particles for these typical parameters. This algorithm has a lateral sample spacing constant in reconstruction distance, has a diffraction limited resolution, and can be implemented with computational speeds comparable to the fastest of other reconstruction algorithms. This algorithm is shown to be accurate by testing with analytical solutions to the Huygens–Fresnel propagation integral. A low-pass filter can be applied to enforce a uniform minimum particle size detection limit throughout a sample volume, allowing this method to be useful in measuring particle size distributions and number densities. Tens of thousands of holograms of cloud ice particles are digitally reconstructed using the algorithm discussed. Positions of ice particles in the size range of 20 µm–1.5 mm are obtained using an algorithm that accurately finds the position of large and small particles along the optical axis. The digital reconstruction and particle characterization algorithms are implemented in an automated fashion with no user intervention on a computer cluster. Strategies for efficient algorithm implementation on a computer cluster are discussed.

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Section: Reconstructing On a Computer Clustersupporting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Practical methods for automated reconstruction and characterization of particles in digital in-line holograms

Fugal

Schulz

Shaw

2009

Meas. Sci. Technol.

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“…Among the most promising solutions to reduce the processing time is the parallel-processing framework. Employing these methods, a 100e200-fold speedup has already been reported by various researchers [65,84,85]. The authors believe that this excessive data processing time along with the experimental expertise needed for multi-camera calibration are the main causes limiting the development of commercial PTV systems.…”

Section: Methodsmentioning

confidence: 86%

Particle Tracking Velocimetry for indoor airflow field: A review

Biwolé

Mathis

2015

Building and Environment

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International audienceAirflow field measurement plays a significant role in creating a thermally comfortable indoor environment, by providing adequate quantitative information of indoor air distribution and local air velocity. In recent years, the Particle Tracking Velocimetry (PTV) technique has gradually become a promising and powerful tool for indoor airflow field measurement. This paper firstly gives an overview of the equipments and methods involved in typical PTV applications to indoor environments, and then introduces related applications of PTV for measuring indoor airflow fields. The Particle Streak Velocimetry (PSV) technique for indoor airflow measurement is also introduced. This paper shows how the quantitative and detailed turbulent flow information obtained by PTV measurement is critical for analyzing turbulent properties and developing numerical simulations. The limitations and future developments of PTV and PSV techniques are also discussed

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“…Historically, camera-object distances have been shortened because of the resolution constraints of camera elements and fluid measurements have been developed in microscopic systems in consideration of the in-line optical axis [27][28][29][30][31]. In particular, our group developed a microdigital holographic particle tracking velocimetry (micro-DHPTV) [32] system and developed a high-speed method [33,34] and hardware [35][36][37] to use the system to measure complex microfluid flow [38] and detect microbubbles [39]. In addition, its accuracy was verified [40] and recently various flow paths were applied [41,42].…”

Section: Three-dimensional Visualization Technique Using Holography I...mentioning

confidence: 99%

Micro- and Nanoscale Imaging of Fluids in Water Using Refractive-Index-Matched Materials

Satake

2022

Nanomaterials

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Three-dimensional (3D) visualization in water is a technique that, in addition to macroscale visualization, enables micro- and nanoscale visualization via a microfabrication technique, which is particularly important in the study of biological systems. This review paper introduces micro- and nanoscale 3D fluid visualization methods. First, we introduce a specific holographic fluid measurement method that can visualize three-dimensional fluid phenomena; we introduce the basic principles and survey both the initial and latest related research. We also present a method of combining this technique with refractive-index-matched materials. Second, we outline the TIRF method, which is a method for nanoscale fluid measurements, and introduce measurement examples in combination with imprinted materials. In particular, refractive-index-matched materials are unaffected by diffraction at the nanoscale, but the key is to create nanoscale shapes. The two visualization methods reviewed here can also be used for other fluid measurements; however, because these methods can used in combination with refractive-index-matched materials in water, they are expected to be applied to experimental measurements of biological systems.

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Study on high speed parallel algorithm using PC grid environment for visualization measurements by Digital Holographic Particle Tracking Velocimetry

Cited by 7 publications

References 4 publications

Practical methods for automated reconstruction and characterization of particles in digital in-line holograms

Practical methods for automated reconstruction and characterization of particles in digital in-line holograms

Particle Tracking Velocimetry for indoor airflow field: A review

Micro- and Nanoscale Imaging of Fluids in Water Using Refractive-Index-Matched Materials

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