Microparticle characterization using digital holography

Emmanouil Darakis; Taslima Khanam; Arvind Rajendran; Vinay Kariwala; Thomas J. Naughton; Anand K. Asundi

doi:10.1016/j.ces.2009.09.057

Microparticle characterization using digital holography

Emmanouil Darakis, Taslima Khanam, Arvind Rajendran, Vinay Kariwala, Thomas J. Naughton, Anand K. Asundi

Research output: Contribution to journal › Article › peer-review

71 Citations (Scopus)

Abstract

Digital holography is an effective 3D imaging technique, with the potential to be used for particle size measurements. A digital hologram can provide reconstructions of volume samples focused at different depths, overcoming the focusing problems encountered by other imaging based techniques. Several particle analysis methods discussed in the literature consider spherical particles only. With the object sphericity assumption in place, analysis of the holographic data can be significantly simplified. However, there are applications, such as particle analysis and crystallization monitoring, where non-spherical particles are often encountered. This paper discusses the processing of digital holograms for particle size and shape measurement for both spherical and arbitrarily shaped particles. An automated algorithm for identification of particles from recorded hologram and subsequent size and shape measurement is described. Experimental results using holograms of spherical and non-spherical particles demonstrate the performance of the proposed measuring algorithm.

Original language	English
Pages (from-to)	1037-1044
Number of pages	8
Journal	Chemical Engineering Science
Volume	65
Issue number	2
DOIs	https://doi.org/10.1016/j.ces.2009.09.057
Publication status	Published - 16 Jan 2010
Externally published	Yes

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title = "Microparticle characterization using digital holography",

abstract = "Digital holography is an effective 3D imaging technique, with the potential to be used for particle size measurements. A digital hologram can provide reconstructions of volume samples focused at different depths, overcoming the focusing problems encountered by other imaging based techniques. Several particle analysis methods discussed in the literature consider spherical particles only. With the object sphericity assumption in place, analysis of the holographic data can be significantly simplified. However, there are applications, such as particle analysis and crystallization monitoring, where non-spherical particles are often encountered. This paper discusses the processing of digital holograms for particle size and shape measurement for both spherical and arbitrarily shaped particles. An automated algorithm for identification of particles from recorded hologram and subsequent size and shape measurement is described. Experimental results using holograms of spherical and non-spherical particles demonstrate the performance of the proposed measuring algorithm.",

keywords = "Crystallization, Digital holography, Image processing, Particle, Particle size, Particulate processes",

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AU - Darakis, Emmanouil

AU - Khanam, Taslima

AU - Rajendran, Arvind

AU - Kariwala, Vinay

AU - Naughton, Thomas J.

AU - Asundi, Anand K.

PY - 2010/1/16

Y1 - 2010/1/16

N2 - Digital holography is an effective 3D imaging technique, with the potential to be used for particle size measurements. A digital hologram can provide reconstructions of volume samples focused at different depths, overcoming the focusing problems encountered by other imaging based techniques. Several particle analysis methods discussed in the literature consider spherical particles only. With the object sphericity assumption in place, analysis of the holographic data can be significantly simplified. However, there are applications, such as particle analysis and crystallization monitoring, where non-spherical particles are often encountered. This paper discusses the processing of digital holograms for particle size and shape measurement for both spherical and arbitrarily shaped particles. An automated algorithm for identification of particles from recorded hologram and subsequent size and shape measurement is described. Experimental results using holograms of spherical and non-spherical particles demonstrate the performance of the proposed measuring algorithm.

AB - Digital holography is an effective 3D imaging technique, with the potential to be used for particle size measurements. A digital hologram can provide reconstructions of volume samples focused at different depths, overcoming the focusing problems encountered by other imaging based techniques. Several particle analysis methods discussed in the literature consider spherical particles only. With the object sphericity assumption in place, analysis of the holographic data can be significantly simplified. However, there are applications, such as particle analysis and crystallization monitoring, where non-spherical particles are often encountered. This paper discusses the processing of digital holograms for particle size and shape measurement for both spherical and arbitrarily shaped particles. An automated algorithm for identification of particles from recorded hologram and subsequent size and shape measurement is described. Experimental results using holograms of spherical and non-spherical particles demonstrate the performance of the proposed measuring algorithm.

KW - Crystallization

KW - Digital holography

KW - Image processing

KW - Particle

KW - Particle size

KW - Particulate processes

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Microparticle characterization using digital holography

Abstract

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