Individual bioaerosol particle discrimination by multi-photon excited fluorescence

Kiselev, Denis; Bonacina, Luigi; Wolf, Jean‐Pierre

doi:10.1364/oe.19.024516

Cited by 44 publications

(32 citation statements)

References 31 publications

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“…Laser pulse shaping not only lifts the constraint of having separate pulse beams in non-linear spectroscopy and microscopy [243][244][245], it also addresses naturally the requirement to decipher the interference which is at the basis of the non-linear spectroscopies. Eventually, this understanding has lead to the use of laser pulse shaping in optical imaging with compensation of the effect of scattering media such as biological tissue [249,250]; optical microscopy with enhanced chemical sensitivity and contrast [251][252][253][254]; chemical analysis and detection via optical discrimination [255][256][257][258]; cancer diagnosis [259]; and material processing [260]. Similarly, laser pulse shaping is expected to enhance chemical sensitivity in other detection methods such as mass spectroscopy [261,262].…”

Section: State Of the Artmentioning

confidence: 99%

Training Schrödinger’s cat: quantum optimal control

et al. 2015

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Abstract. It is control that turns scientific knowledge into useful technology: in physics and engineering it provides a systematic way for driving a dynamical system from a given initial state into a desired target state with minimized expenditure of energy and resources. As one of the cornerstones for enabling quantum technologies, optimal quantum control keeps evolving and expanding into areas as diverse as quantumenhanced sensing, manipulation of single spins, photons, or atoms, optical spectroscopy, photochemistry, magnetic resonance (spectroscopy as well as medical imaging), quantum information processing and quantum simulation. In this communication, state-of-the-art quantum control techniques are reviewed and put into perspective by a consortium of experts in optimal control theory and applications to spectroscopy, imaging, as well as quantum dynamics of closed and open systems. We address key challenges and sketch a roadmap for future developments. ForewordThe authors of this paper represent the QUAINT consortium, a European Coordination Action on Optimal Control of Quantum Systems, funded by the European Commission Framework Programme 7, Future Emerging Technologies FET-OPEN programme and the Virtual Facility for Quantum Control (VF-QC). This consortium has considerable expertise in optimal control theory and its applications to quantum systems, both in existing areas, such as spectroscopy and imaging, and in emerging quantum technologies, such as quantum information processing, quantum communication, quantum simulation a e-mail: fwm@lusi.uni-sb.de and quantum sensing. The list of challenges for quantum control has been gathered by a broad poll of leading researchers across the communities of general and mathematical control theory, atomic, molecular-, and chemical physics, electron and nuclear magnetic resonance spectroscopy, as well as medical imaging, quantum information, communication and simulation. 144 experts in these fields have provided feedback and specific input on the state of the art, mid-term and long-term goals. Those have been summarized in this document, which can be viewed as a perspectives paper, providing a roadmap for the future development of quantum control. Because such an endeavour can hardly ever be complete (there are many additional areas of quantum control applications, such as spintronics, nano-optomechanical technologies etc.), this roadmap

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Section: State Of the Artmentioning

confidence: 99%

Training Schrödinger’s cat: quantum optimal control

et al. 2015

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“…This instrument is based on the work of Kiselev et al [136,137] and uses both optical scatter and spectrally resolved fluorescence for the identification of biological particles by providing a near complete spectrum for each particle. The instrument has an air-flow rate of 2 L min −1 , and initially passes particles through a red laser beam (658 nm) to yield time-resolved scattering data.…”

Section: Pa-300mentioning

confidence: 99%

Review: The Use of Real-Time Fluorescence Instrumentation to Monitor Ambient Primary Biological Aerosol Particles (PBAP)

Fennelly

Sewell²,

Prentice

et al. 2017

Atmosphere

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Primary biological aerosol particles (PBAP) encompass many particle types that are derived from several biological kingdoms. These aerosol particles can be composed of both whole living units such as pollen, bacteria, and fungi, as well as from mechanically formed particles, such as plant debris. They constitute a significant proportion of the overall atmospheric particle load and have been linked with adverse health issues and climatic effects on the environment. Traditional methods for their analysis have focused on the direct capture of PBAP before subsequent laboratory analysis. These analysis types have generally relied on direct optical microscopy or incubation on agar plates, followed by time-consuming microbiological investigation. In an effort to address some of these deficits, real-time fluorescence monitors have come to prominence in the analysis of PBAP. These instruments offer significant advantages over traditional methods, including the measurement of concentrations, as well as the potential to simultaneously identify individual analyte particles in real-time. Due to the automated nature of these measurements, large data sets can be collected and analyzed with relative ease. This review seeks to highlight and discuss the extensive literature pertaining to the most commonly used commercially available real-time fluorescence monitors (WIBS, UV-APS and BioScout). It discusses the instruments operating principles, their limitations and advantages, and the various environments in which they have been deployed. The review provides a detailed examination of the ambient fluorescent aerosol particle concentration profiles that are obtained by these studies, along with the various strategies adopted by researchers to analyze the substantial data sets the instruments generate. Finally, a brief reflection is presented on the role that future instrumentation may provide in revolutionizing this area of atmospheric research.

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“…They also reviewed the instrumentation of a few well-known detection systems. The representative fluorescence-based bioaerosol detection and characterization systems are the biological agent warning sensor (BAWS) (e.g., [83]), the ultraviolet aerodynamic particle sizer (UV-APS) (e.g., [27]), the waveband integrated bioaerosol sensor (WIBS) (e.g., [42]), the dual-wavelength-excitation multiple-fluorescence-band system (e.g., [97]), and the dualwavelength-excitation or single wavelength excitation single particle fluorescence spectrometer (DPFS or SPFS) (e.g., [63,64,65,66,70,44,45]). UV-APS supplies total particle and fluorescence particle concentration as well as the relative fluorescence intensity by 355-nm excitation in each of the aerodynamic size bins (0.532-20 μm), and is a good particle sizer and fluorescence particle counter.…”

Section: Fluorescent Molecules and Their Excitation-emission Matrix (mentioning

confidence: 99%

“…The fluorescence spectra based systems, such as DPFS, which supplies particle size and two dispersed fluorescence spectra (280-700 nm) using dual wavelength excitation (263/266 and 351/355 nm), provide the richest information for every detected particle, leading to the highest discrimination capability [63][64][65]70,44,45]. In general, LIF based systems promise to be able to differentiate bioaerosol particles from most non-bioaerosol particles (e.g., [27,29,19,83,62,65,41]); discriminate biothreat agents from atmospheric aerosol particles; and classify different bioaerosol species such as pollen versus fungi, as shown in Fig.…”

Section: Fluorescent Molecules and Their Excitation-emission Matrix (mentioning

confidence: 99%

Detection and characterization of biological and other organic-carbon aerosol particles in atmosphere using fluorescence

Pan

2015

Journal of Quantitative Spectroscopy and Radiative Transfer

115

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a b s t r a c tThis paper offers a brief review on the detection and characterization of biological and other organic-carbon (OC) aerosol particles in atmosphere using laser-induced-fluorescence (LIF) signatures. It focuses on single individual particles or aggregates in the micron and supermicron size range when they are successively drawn through the interrogation volume of a point detection system. Related technologies for these systems that have been developed in last two decades are also discussed. These results should provide a complementary view for studying atmospheric aerosol particles, particularly bioaerosol and OC aerosol particles from other analytical technologies.Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

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Individual bioaerosol particle discrimination by multi-photon excited fluorescence

Cited by 44 publications

References 31 publications

Training Schrödinger’s cat: quantum optimal control

Training Schrödinger’s cat: quantum optimal control

Review: The Use of Real-Time Fluorescence Instrumentation to Monitor Ambient Primary Biological Aerosol Particles (PBAP)

Detection and characterization of biological and other organic-carbon aerosol particles in atmosphere using fluorescence

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