Imaging atmospheric aerosol particles from a UAV with digital holography

Kemppinen, Osku; Laning, Jesse C.; Mersmann, Ryan D.; Videen, Gorden; Berg, Matthew J.

doi:10.1038/s41598-020-72411-x

Cited by 41 publications

(23 citation statements)

References 65 publications

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“…An example of a new technology involves the use of holography and Stereolithography 3D-printing lightweight plastics to detect aerosols [ 22 ]. HAPI (Holographic Aerosol Particle Imager) is an instrument carried by an unmanned aerial vehicle (UAV) that can obtain images in a non-contact manner, resolving particles larger than 10 microns in a sensing volume of approximately 3 cubic centimeters.…”

Section: Sensors For Military Applicationsmentioning

confidence: 99%

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Additive Manufacturing of Sensors for Military Monitoring Applications

Bird

Ravindra

2021

Polymers

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The US Department of Defense (DoD) realizes the many uses of additive manufacturing (AM) as it has become a common fabrication technique for an extensive range of engineering components in several industrial sectors. 3D Printed (3DP) sensor technology offers high-performance features as a way to track individual warfighters on the battlefield, offering protection from threats such as weaponized toxins, bacteria or virus, with real-time monitoring of physiological events, advanced diagnostics, and connected feedback. Maximum protection of the warfighter gives a distinct advantage over adversaries by providing an enhanced awareness of situational threats on the battle field. There is a need to further explore aspects of AM such as higher printing resolution and efficiency, with faster print times and higher performance, sensitivity and optimized fabrication to ensure that soldiers are more safe and lethal to win our nation’s wars and come home safely. A review and comparison of various 3DP techniques for sensor fabrication is presented.

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Section: Sensors For Military Applicationsmentioning

confidence: 99%

“…( c , d ) Example of a contrast hologram I con for an aerosol of spherical particles and the particle image obtained from it. Reproduced with the permission of Reference [ 22 ]. Copyright Springer.…”

Section: Figurementioning

confidence: 99%

Additive Manufacturing of Sensors for Military Monitoring Applications

Bird

Ravindra

2021

Polymers

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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 pollen (Pan et al, 2011;Kiselev et al, 2013). Likewise, image recognition on the scattering pattern of pollen grains have been investigated, as described by Šaulienė et al (2019), and holographic images are also used (Giri et al, 2019;Sauvageat et al, 2020;Kemppinen et al, 2020) as an identification methodology. Finally, light scattering by pollen has been studied in the laboratory in aqueous solutions by Bickel and Stafford (1980) or when pollen are deposited on a substrate or a holder by Surbek et al (2011), Iwai (2013), Raman et al (2013) and Nouri et al (2018).…”

Section: Introductionmentioning

confidence: 99%

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

Cholleton

Bialic²,

Dumas³

et al. 2022

Atmos. Meas. Tech.

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Abstract. Pollen is 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 pollen taxa, when embedded in ambient air, exhibit different spectral and polarimetric light-scattering characteristics, in the form of 10 scattering matrix elements (5 per wavelength), which allow each to be identified separately. To end with, a simpler light-scattering criterion is proposed for classification among the four considered pollen taxa by performing a principal component (PC) analysis, which 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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“…For these reasons, it has many applications that include studying contaminants in water, 24 quantifying unconstrained bacterial mobility, 25 studying protein aggregates, 26 or characterizing flowing aerosol particles in air. 27 In this work, we propose for the first time the application of DH to study meltwater samples from polar snow, and we designed a dedicated apparatus and flow system for this purpose. DH allows one to obtain a direct measurement of (1) the extinction cross section and (2) an image of their silhouette when crossing so that the shape of the particles can be inferred.…”

Section: ■ Introductionmentioning

confidence: 99%

Optical Characterization of Mineral Dust from the EAIIST Project with Digital Holography

Ravasio

Cremonesi

Artoni

et al. 2021

ACS Earth Space Chem.

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We describe an optical approach based on Digital Holography for single-particle characterization of mineral dust and micrometric particles, focusing on the analysis of airborne particles in meltwater from Antarctic ice cores. We record the holograms formed by the superposition of the transilluminating reference beam and the waves scattered by single particles. Taking a cue from recent approaches in the field and holography methods, we process the holograms to recover both optical and morphological properties of single dust grains. As a considerable advantage over traditional light-scattering-based methods, holograms give the extinction cross section of each particle and, by numerically reconstructing the wavefront propagation, an unambiguous image of each particle whereby we derive its cross-sectional shape and size. Measurements have been carried out on samples collected from the recent EAIIST (East Antarctic International Ice Sheet Traverse) project, some of which show evidence of volcanic events. The vast majority of the detected particles show significant deviations from the isometric shape, as confirmed by both image reconstruction and extinction cross section analysis. By our analysis, we observe that experimental data have an extinction cross section up to 3 times lower than that of spherical particles with the same volume. Therefore, these deviations have an appreciable impact on the aerosol contribution to radiative forcing: retrieving particle shape may improve the modeling of the radiative properties of mineral dust and reduce the associated uncertainties.

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Imaging atmospheric aerosol particles from a UAV with digital holography

Cited by 41 publications

References 65 publications

Additive Manufacturing of Sensors for Military Monitoring Applications

Additive Manufacturing of Sensors for Military Monitoring Applications

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

Optical Characterization of Mineral Dust from the EAIIST Project with Digital Holography

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