Low-magnification particle positioning for 3D velocimetry applications

Sosa, Patricia Padilla; Moreno, D.; Guerrero, J A; Funes-Gallanzi, Marcelo

doi:10.1016/s0030-3992(01)00096-2

Cited by 6 publications

(3 citation statements)

References 22 publications

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“…The measurement technique, in general, relies on similar principles as in-line holography. A theoretical assessment of the method's uncertainty for 3D PTV regarding particle and pixel size, magnification and resolution was done by Padilla Sosa et al (2002). Speidel et al (2000) applied the method for the reconstruction of 216 nm beads in an agarose gel.…”

Section: Techniques Based On Out-of-focus Imaging Without Aperturementioning

confidence: 99%

Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics

Cierpka

Kähler

2011

J Vis

129

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The reliable measurement of the 3D3C velocity field in microfluidic devices becomes more and more important for future optimization and developments for lab-on-a-chip applications or point-of-care medical diagnosis systems. In the past years, different particle-based imaging methods, such as confocal scanning microscopy, holography, stereoscopic and tomographic imaging or approaches based on defocused particle images or optical aberrations have been developed and applied successfully to measure velocity fields in microfluidic systems. The benefits and drawbacks of these methods will be discussed in detail as the proper understanding of the measurement principle is essential to select the most appropriate technique for a desired measurement application. Once an imaging method is chosen, the velocity can be estimated by correlation-based methods or tracking approaches. The advantages and disadvantages of both methods and the importance of image preprocessing will also be discussed in detail.

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Section: Techniques Based On Out-of-focus Imaging Without Aperturementioning

confidence: 99%

Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics

Cierpka

Kähler

2011

J Vis

129

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“…Position monitoring is applied in many fields such as mechanical treatment, monitoring for the position of radar and even the monitoring for electric emitting [1]. Now, there are many such technologies applied in position monitoring and displacement testing, for example line array CCD, raster, eddy current, plane array CCD and image recognition [1]. Among these technologies, every one has its merits.…”

Section: Introductionmentioning

confidence: 99%

Detection of 3D Position of Object Using Four-Quadrant Photoedetector

Huang

Tang

Liu

2011

AMR

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On the basis of building the mathematic light-path model of four-quadrant photodetector, three dimensional(3D) position monitoring system of an object is built. For the 3D position, pitching, orientation and rolling departure are included. The monitoring results indicate that position monitoring with four-quadrant photodetector is practical, economical and precise. And the testing precision can be corrected to the degree of second. So the theoretic basis for the further research and application of photodetector without calibrating experiment sample data is founded.

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“…The use of a genetic algorithm overcomes the limitations of using a treatment combining GLMT, a Nelder-Meade simplex algorithm, and a neural net approach as previously reported. 5 The Nelder-Meade algorithm is one of the most widely used direct search methods for nonlinear unconstrained optimization, though the theoretical underpinnings of the algorithm, such as its convergence properties, are less than satisfactory. These limitations primarily involve low computational efficiency and the need to retrain a net for each set of experimental conditions.…”

Section: Introductionmentioning

confidence: 99%