Generation of aerosol-particle light-scattering patterns from digital holograms

Giri, Ramesh; Morello, Claudia; Heinson, Yuli W.; Kemppinen, Osku; Videen, Gorden; Berg, Matthew J.

doi:10.1364/ol.44.000819

Cited by 11 publications

(3 citation statements)

References 11 publications

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“…DIH has been recently demonstrated for the analysis of the motion and morphology of individual aerosol particles (Berg & Holler, 2016;David et al, 2018;Giri et al, 2019). DIH has also been used successfully employed in a diverse array of fields, including the study of social behaviors of flies (Kumar et al, 2016), snowflake size distribution function and morphology (Nemes et al, 2017), atmospheric mixing and cloud formation (Beals et al, 2015), ocean sediment particle size and velocity transport (Graham & Nimmo Smith, 2010), oil droplets in oceans (Li et al, 2017), bubbly wake behind a ventilated supercavity (Shao et al, 2019), and preliminarily (without automated processing), droplets from sprays in compressible flow cross wind (Olinger et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Automated droplet size distribution measurements using digital inline holography

Kumar

Hogan

et al. 2019

Journal of Aerosol Science

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Droplet generation through spray breakup is an unsteady and non-linear process which produces a relatively dense, highly polydisperse aerosol containing non-spherical droplets with sizes spanning several orders of magnitude. Such variability in size and shape can lead to significant sources of error for conventional measurements based on laser scattering. Although direct imaging of droplets can potentially overcome these limitations, imaging suffers from a shallow depth of field as well as occlusions, which prevents the complete spray from being analyzed. In comparison, digital inline holography (DIH), a low cost coherent imaging technique, can enable high resolution imaging of the sample over an extended depth of field, typically several orders of magnitude larger than traditional imaging. In this study, we showcase an automated DIH imaging system for characterizing monodisperse and polydisperse aerosol droplet size and shape distributions in the 20 m -3 mm diameter range, over a large sample volume. The high accuracy of the technique is demonstrated by measurements of monodisperse droplets generated by a vibrating orifice droplet generator, achieving a resolution of ~14.2. Measurements of a polydisperse spray from a flat fan nozzle serve to establish the versatility of DIH in extracting a two-dimensional size-eccentricity distribution function, which indicates a strong semilogarithmic scaling between the two parameters that decays as the droplet migrates away from the nozzle. Due to its low cost and compact setup as well as high density of data obtained, DIH can serve as a promising approach for future aerosol characterization.

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Section: Introductionmentioning

confidence: 99%

Automated droplet size distribution measurements using digital inline holography

Kumar

Hogan

et al. 2019

Journal of Aerosol Science

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“…In the latter, the fluorescence spectrum and its life-time have been used from the UV to the NIR spectral range to identify pollens (Pan et al, 2011;Kiselev et al, 2013). Likewise, image recognition on pollen grains holographic images is also used (Giri et al, 2019;Sauvageat et al, 2020;Kemppinen et al, 2020) as an identification methodology. Finally, light scattering by pollens has been studied in laboratory in aqueous solutions by (Bickel and Stafford, 1980) or when pollens are deposited on a substrate or an holder by (Surbek et al, 2011;Iwai, 2013;Raman et al, 2013;Nouri et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Laboratory evaluation of the scattering matrix of ragweed, ash, birch and pine pollens towards pollen classification

Cholleton

Bialic²,

Dumas³

et al. 2021

Preprint

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Abstract. Pollens are nowadays recognized as one of the main atmospheric particles affecting public human health as well as the Earth's climate. In this context, an important issue concerns our ability to detect and differentiate among the existing pollen taxa. In this paper, the potential differences that may exist in light scattering by four of the most common pollen taxa, namely ragweed, birch, pine and ash, are analysed in the framework of the scattering matrix formalism at two wavelengths simultaneously (532 and 1064 nm). Interestingly, our laboratory experimental error bars are precise enough to show that these four pollens, when embedded in ambient air, exhibit different spectral and polarimetric light scattering characteristics, in the form of ten scattering matrix elements (five per wavelength), which allow identifying each separately. To end with, a simpler light scattering criterion is proposed for classifying among the four considered pollens by performing a principal component (PC) analysis, that still accounts for more than 99 % of the observed variance. We thus believe this work may open new insights for future atmospheric pollen detection.

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“…In laser-induced fluorescence, the pollens lifetime and emission spectra are recorded from the UV to the NIR spectral range to allow identifying fingerprints [24] , [25] , [26] . Pollens holography allows image-based recognition [27] , [28] . Moreover, as published by M. Berg and G. Videen [29] , a cluster of ragweed pollen particles can be imaged in-situ using digital in-line holography to discern the ragweed single-particle size and shape.…”

Section: Introductionmentioning

confidence: 99%

Laboratory evaluation of the (VIS, IR) scattering matrix of complex-shaped ragweed pollen particles

Cholleton

Bialic²,

Dumas³

et al. 2020

Journal of Quantitative Spectroscopy and Radiative Transfer

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Highlights Light scattering by complex-shaped large particles is investigated in laboratory. The scattering matrix of airborne ragweed pollen is measured as a case study. A (VIS, IR) polarimeter has hence been built and validated on spherical particles. The (VIS, IR) spectral dependence of the ragweed scattering matrix is revealed.

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Generation of aerosol-particle light-scattering patterns from digital holograms

Cited by 11 publications

References 11 publications

Automated droplet size distribution measurements using digital inline holography

Automated droplet size distribution measurements using digital inline holography

Laboratory evaluation of the scattering matrix of ragweed, ash, birch and pine pollens towards pollen classification

Laboratory evaluation of the (VIS, IR) scattering matrix of complex-shaped ragweed pollen particles

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