Evaluation of biological aerosol stand-off detection at a field trial

Jönsson, Per; Elmqvist, Magnus; Gustafsson, Ove; Kullander, Fredrik; Persson, Rolf; Olofsson, G.; Tjärnhage, Torbjörn; Farsund, Øystein; Haavardsholm, Trym Vegard; Rustad, Gunnar

doi:10.1117/12.830401

Cited by 12 publications

(18 citation statements)

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“…Equivalently, remote nanoscopy may be conducted of insect wing membranes using multi-band lidars, which, so far, have been developed for conventional aerosol particle characterization [17,18]. The membrane thickness is known to be species specific [19].…”

Section: Classification and Information In Oscillatory Particlesmentioning

confidence: 99%

SUPER RESOLUTION LASER RADAR WITH BLINKING ATMOSPHERIC PARTICLES ---- APPLICATION TO INTERACTING FLYING INSECTS (Invited Paper)

Brydegaard¹,

Gebru²,

Svanberg³

2014

PIER

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Abstract-Assessment of biodiversity of pollinators on the landscape scale or estimation of fluxes of disease-transmitting biting midges constitutes a major technical challenge today. We have developed a laser-radar system for field entomology based on the so called Scheimpflug principle and a continuouswave laser. The sample-rate of this method is unconstrained by the round-trip time of the light, and the method allows assessment of the fast oscillatory insect wing-beats and harmonics over kilometers range, e.g., for species identification and relating abundances to the topography. Whereas range resolution in conventional lidars is limited by the pulse duration, systems of the Scheimpflug type are limited by the diffraction of the telescopes. However, in the case of sparse occurrence of the atmospheric insects, where the optical cross-section oscillates, estimation of the range and spacing between individuals with a precision beyond the diffraction limit is now demonstrated. This enables studies of insect interaction processes in-situ. REMOTE OPTICAL IN-SITU INSECT MONITORINGAlthough tiny in size, the massive number of insects makes them play a key role in most eco-systems around the globe. While the Western world experiences significant economic losses in agriculture due to lack of biodiversity and the colony collapse disorder of pollinators [1], disease vectors and pests are feared and, to a great extent, blamed for stagnating the development in tropical parts of the world.Whereas birds can be ring marked or tracked via GPS or sun loggers, only the very largest and least abundant insects can be equipped with electronic tags [2,3]. While research in the area of radar entomology has been conducted over several decades and numerous interesting applications have been described [4], laser radar (light detection and ranging; lidar) systems in the optical regime have the potential of achieving a far better sensitivity and address and classify even the tiniest insects, simply because most insects are much smaller than the wavelengths of microwaves used in radars but larger than the wavelengths of light. Further, optical off-the-shelf components allow spectral-and polarimetric target classification, providing molecular as well as microstructure information [5,6]. Along these lines our group has previously demonstrated lidar remote detection of insects labeled with fluorescent powders, e.g., for assessing dispersal rates on a landscape scale [7,8].Today a major limitation in ecological entomology is that insect abundance assessment is based on sweep nets, light-, pheromone-or CO 2 -traps. Placing and emptying the traps are tedious operations and constitute a major effort, and the results are known to be biased with respect to the species, sexes and age groups caught. Although trapping allows precise studies with microscopes, mass spectrometry

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Section: Classification and Information In Oscillatory Particlesmentioning

confidence: 99%

SUPER RESOLUTION LASER RADAR WITH BLINKING ATMOSPHERIC PARTICLES ---- APPLICATION TO INTERACTING FLYING INSECTS (Invited Paper)

Brydegaard¹,

Gebru²,

Svanberg³

2014

PIER

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“…In analogy with the term ‘molecular imaging’ in biophotonics, where specific molecules can be localized, ‘molecular ranging’ can be accomplished by differential absorption (DIAL) or by inelastic scattering (fluorescence and Raman). Inelastic lidars for biological target classification remain few worldwide (see, e.g., marine lidars and also lidars for aerosols and for cultural heritage ). These systems typically employ pulsed ultraviolet lasers, laser‐induced fluorescence and array cascade detectors providing a fluorescent spectrum for identification of the target.…”

Section: Motivation and Existing Methodsmentioning

confidence: 99%

Inelastic hyperspectral lidar for profiling aquatic ecosystems

Zhao

Ljungholm

Malmqvist

et al. 2016

Laser & Photonics Reviews

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Monitoring the aquatic environment and the life of free‐floating organisms remains on the borderline of our technical capabilities. Therefore, our insights into aquatic habitats, such as, abundance and behavior of organisms are limited. In order to improve our understanding of aquatic life, we have developed a low‐cost inelastic hyperspectral lidar with unlimited focal depth and enough sensitivity and spatiotemporal resolution to detect and resolve position and behavior of individual submillimeter organisms. In this work, we demonstrate elastic as well as molecular ranging by using the water Raman band, and by observing fluorescence from chlorophyll and from dye‐tagged organisms. We present an aquatic laser‐diode‐based inelastic light detection and ranging (lidar) system with unprecedented sensitivity, spatiotemporal resolution and number of spectral bands. Our system offers new opportunities for quantitative in situ studies of aquatic organisms, and has the potential to considerably advance our understanding of biological life in aquatic systems.

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“…Under laboratory conditions, the discrimination of different biological and non-biological aerosol particles by LIF techniques was successfully demonstrated [13]. The Swedish Defence Research Agency (FOI) developed a light detection and ranging (LIDAR) UV-LIF system for standoff aerosol detection, which has been field-tested for the classification of different biological particles and interferants [14]. The LIDAR technique has also been used by others, for example, research groups from Italy [15], India [16] and Canada [17,18].…”

Section: Introductionmentioning

confidence: 99%

Standoff detection and classification of bacteria by multispectral laser-induced fluorescence

Duschek

Fellner

Gebert

et al. 2017

Advanced Optical Technologies

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Abstract:Biological hazardous substances such as certain fungi and bacteria represent a high risk for the broad public if fallen into wrong hands. Incidents based on bio-agents are commonly considered to have unpredictable and complex consequences for first responders and people. The impact of such an event can be minimized by an early and fast detection of hazards. The presented approach is based on optical standoff detection applying laser-induced fluorescence (LIF) on bacteria. The LIF bio-detector has been designed for outdoor operation at standoff distances from 20 m up to more than 100 m. The detector acquires LIF spectral data for two different excitation wavelengths (280 and 355 nm) which can be used to classify suspicious samples. A correlation analysis and spectral classification by a decision tree is used to discriminate between the measured samples. In order to demonstrate the capabilities of the system, suspensions of the low-risk and non-pathogenic bacteria Bacillus thuringiensis, Bacillus atrophaeus, Bacillus subtilis, Brevibacillus brevis, Micrococcus luteus, Oligella urethralis, Paenibacillus polymyxa and Escherichia coli (K12) have been investigated with the system, resulting in a discrimination accuracy of about 90%.

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Evaluation of biological aerosol stand-off detection at a field trial

Cited by 12 publications

References 0 publications

SUPER RESOLUTION LASER RADAR WITH BLINKING ATMOSPHERIC PARTICLES ---- APPLICATION TO INTERACTING FLYING INSECTS (Invited Paper)

SUPER RESOLUTION LASER RADAR WITH BLINKING ATMOSPHERIC PARTICLES ---- APPLICATION TO INTERACTING FLYING INSECTS (Invited Paper)

Inelastic hyperspectral lidar for profiling aquatic ecosystems

Standoff detection and classification of bacteria by multispectral laser-induced fluorescence

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