Dr. Eric R. Languirand Profile

Dr. Eric R. Languirand

Research Chemist at DEVCOM Chemical Biological Ctr

SPIE Involvement:

Author

Area of Expertise:

SERS , Spectroscopy , Imaging , Defense , Hyperspectral

Websites:

Personal Website

Publications (15)

Proceedings Article | 7 June 2024 Presentation + Paper

Emerging explosive threat analysis for using threat anomaly detection (ThreAD)

Eric Languirand, Amee Polk, Michael Kauzlarich, Jacob Buchman, Matthew Collins

Proceedings Volume 13056, 1305612 (2024) https://doi.org/10.1117/12.3016072

KEYWORDS: Explosives, Laboratories, Contamination, Chemical analysis, Reflectivity, Detection and tracking algorithms, Army, Visualization, Spectroscopy

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Proceedings Article | 6 June 2024 Presentation + Paper

Exploring MOF-based micromotors as SERS sensors

Eric Languirand, Errie Parrilla, Nathaniel Smith, Matthew Collins, Angus Unruh, Lars Lefkowitz, Cecilia Phung, Ayusman Sen

Proceedings Volume 13059, 130590B (2024) https://doi.org/10.1117/12.3017251

KEYWORDS: Silver, Plasmonics, Particles, Absorption, Micro optical fluidics, Coating thickness, Reflectivity, Metals, Coating, Sensors

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Proceedings Article | 14 June 2023 Presentation + Paper

Pushing the limits of vibrational spectroscopy-based detection: the potential of cavity ring-down spectroscopy for trace threat vapor detection

Ian Pardoe, Eric Languirand

Proceedings Volume 12541, 125410M (2023) https://doi.org/10.1117/12.2661375

KEYWORDS: FT-IR spectroscopy, Spectroscopy, Infrared spectroscopy, Vibration, Infrared sensors, Infrared radiation, Chemical analysis

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Traditional vapor sensing based on vibrational spectroscopy methods employs Fourier-transform infrared (FTIR) spectroscopy, which can produce reliable identification of ppm-level chemical vapors; however, chemical warfare agent poses a threat down to ppb and lower levels. Novel cavity ring-down spectroscopy-based sensors offer a possible path toward combining the high amount of spectral fingerprint data available from traditional IR methods, and the sensitivity of higher-sensitivity technologies, such as nanomaterial arrays and ion-mobility spectroscopy (IMS) which lack high amounts of data which can be used to uniquely identify molecules and are still plagued by high false-alarm rates and low selectivity. Cavity ring-down expands the effective path length of a gas analyzer by orders of magnitude by reflecting the IR light back and forth across an analyzer cavity. By characterizing the loss of light with each bounce by understanding the reflectivity of the mirrors employed at each end of the cavity, a characteristic "ring-down" time of the reflected light through a gas medium can be measured. Then, as analyte is introduced into the cavity, the ring-down times at each wavelength are shifted as a function of the absorbance of the analyte. Comparison of the measured vs. expected ring-down times can be interpreted to produce an IR absorption spectrum of the analyte. The effective pathlength of on order of kilometers allows for extremely high sensitivity beyond the capability of modern FTIR-based analyzers; however, this sensitivity comes at the expense of easier-to-saturate detectors as well. Additionally, cavity ring-down systems have already demonstrated the ability to measure absorption of aerosols both solid and liquid, filling a major gap left by FTIR vapor analyzers and opening the possibility of bioaerosol detection. We present a comparison of the two technologies and where they complement as well as fill in gaps in detection capabilities and offer a path forward for future generations of CB detection.

Proceedings Article | 14 June 2023 Presentation + Paper

Focusless hand-held proximal Raman detection and two-dimensional mapping of explosives

Eric Languirand, G. Amalthea Trobare

Proceedings Volume 12541, 125410A (2023) https://doi.org/10.1117/12.2662856

KEYWORDS: Raman spectroscopy, Beam diameter, Equipment, Explosives, Collimation, Beam divergence, Stainless steel, Spectroscopy, Free space optics, Potassium

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Proceedings Article | 14 June 2023 Presentation + Paper

Low-level anomaly detection for trace explosives using the threat anomaly detection (ThreAD) analysis

Eric Languirand

Proceedings Volume 12541, 125410G (2023) https://doi.org/10.1117/12.2662854

KEYWORDS: Explosives, Explosives detection, Detection and tracking algorithms, Potassium, Machine learning, Reflectivity, Statistical analysis, Spectroscopy, Solids, Chemical analysis

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Proceedings Article | 30 May 2022 Paper

Developing a network of inexpensive electrical conductivity sensors to map ammonia release

Matthew Collins, Eric Languirand, Ian Emge

Proceedings Volume 12116, 121160H (2022) https://doi.org/10.1117/12.2618101

KEYWORDS: Sensors, Environmental sensing, Ions, Liquids, Sensor networks, Industrial chemicals, Chemical detection

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Proceedings Article | 30 May 2022 Presentation + Paper

Active illumination source for hyperspectral spectrometer in UAV/UGV mounted applications

Justin Curtiss, Eric Languirand

Proceedings Volume 12116, 121160J (2022) https://doi.org/10.1117/12.2617439

KEYWORDS: Spectroscopy, Photons, Light, Light sources, Reflectivity, Lamps, Image processing

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Proceedings Article | 30 May 2022 Presentation + Paper

Performance analysis through predictive modeling: application to an anomaly detection algorithm in operational scenarios

Eric Languirand, Darren Emge

Proceedings Volume 12116, 1211606 (2022) https://doi.org/10.1117/12.2618125

KEYWORDS: Binary data, Detection and tracking algorithms, Potassium, Performance modeling, Explosives, Data modeling, Scanners, Chemical analysis, Statistical analysis, Spectroscopy

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Proceedings Article | 12 April 2021 Presentation + Paper

Broadband photoacoustic spectroscopy using quantum cascade laser arrays for compositional analysis of airborne aerosols

Chien-Sheng Liao, Eric Languirand, Justin Curtiss, Romain Blanchard, Christian Pfluegl, Darren Emge, Daryoosh Vakhshoori

Proceedings Volume 11749, 1174907 (2021) https://doi.org/10.1117/12.2588050

KEYWORDS: Chemical analysis, Aerosols, Quantum cascade lasers, Photoacoustic spectroscopy, Liquids, Atmospheric particles, Absorption, Solids, Infrared radiation, Acoustics

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Proceedings Article | 12 April 2021 Presentation + Paper

Predicting instrument detection capability of dispersed samples while moving

Eric Languirand, Darren Emge

Proceedings Volume 11749, 117490O (2021) https://doi.org/10.1117/12.2587179

KEYWORDS: Raman spectroscopy, Data modeling, Spectroscopy, Solids, Instrument modeling, Improvised explosive devices, Chemical analysis

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The detection of bulk materials is well-understood and many transduction methodologies exist. In contrast the detection of distributed or dispersed materials is still under study due the unique sequence of events under which this this occurs. For dispersed materials the problem is twofold, first you need to intercept or sample a location containing an analyte of interest and second you must be able to detect and identify that analyte. In addition, intercepting or sampling from sparsely contaminated areas is a more difficult problem as there is more background clutter due to less analyte available for interrogation and identification. Potential dispersed threats may include IED residues or disseminated materials dispersed in order contaminate an area with harmful chemicals. Using technologies such as Raman spectroscopy can provide real-time unique chemical-specific information to detect dispersed materials. However, understanding adequate sampling methods based on the instrument physical operation characteristics can help reduce false negatives and improve maneuverability through contested areas by bounding operational limitations. Since disseminated materials are deposited on a surfaces in a log-Normal fashion, the deposition pattern can be modeled and the potential ability to detect can be determined by understanding the probability of intercept of an analyte by the sampling method., i.e., for Raman the potential of a focused laser to illuminate an analyte containing location. The operating characteristics in question are the area of interrogation, repetition rate of the sampling method, and the speed at which the sampling is completed. In this paper, deposition patterns are modeled, and a CW Raman instrument is used to determine probability of intercept for several area-based concentrations, at different speeds, and with different interrogation areas. The data is analyzed based on both a predicted model and actual data. Determining and understanding these operating characteristics will aid in understanding of the necessary sampling, i.e., laser intercept, in order to provide desired confidence levels for detection.

Proceedings Article | 12 April 2021 Presentation + Paper

Real-time analysis of hyperspectral data in MATLAB: theoretical limits of anomaly detection utilizing higher order statistics through simulation

Eric Languirand, Darren Emge

Proceedings Volume 11749, 117490Q (2021) https://doi.org/10.1117/12.2585927

KEYWORDS: MATLAB, Computer simulations, Hyperspectral simulation, Statistical analysis, Device simulation, Situational awareness sensors, Detection and tracking algorithms, Algorithms

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Proceedings Article | 22 July 2019 Paper

Higher order statistics for anomaly detection in hyper spectral imaging

Eric Languirand, Darren Emge

Proceedings Volume 11010, 110100J (2019) https://doi.org/10.1117/12.2518726

KEYWORDS: Statistical analysis, Scanners, Data processing, Signal to noise ratio, Imaging spectroscopy, Hyperspectral imaging, Stochastic processes, Detection and tracking algorithms, Photonics, Line scan image sensors

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Proceedings Article | 13 May 2016 Paper

Characterization of analytical figures of merit of a sub-diffraction limited fiber bundle array for SERS imaging

Eric Languirand, Brian Cullum

Proceedings Volume 9863, 98630C (2016) https://doi.org/10.1117/12.2220593

KEYWORDS: Metals, Imaging arrays, Spatial resolution, Chemical elements, Imaging spectroscopy, Raman spectroscopy, Image resolution, Luminescence, Quantum dots, Cladding

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SPIE Journal Paper | 20 October 2015 Open Access

Recent advances in plasmonic nanostructures for sensing: a review

Pietro Strobbia, Eric Languirand, Brian Cullum

OE, Vol. 54, Issue 10, 100902, (October 2015) https://doi.org/10.1117/12.10.1117/1.OE.54.10.100902

KEYWORDS: Plasmonics, Nanostructures, Surface enhanced Raman spectroscopy, Nanoparticles, Metals, Silver, Gold, Surface plasmons, Plasmons, Nanolithography

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Proceedings Article | 13 May 2015 Paper

Large area super-resolution chemical imaging via rapid dithering of a nanoprobe

Eric Languirand, Brian Cullum

Proceedings Volume 9487, 94870O (2015) https://doi.org/10.1117/12.2177107

KEYWORDS: Super resolution, Point spread functions, Reconstruction algorithms, Image resolution, Chemical elements, Calibration, Raman spectroscopy, Spatial resolution, Image enhancement, Imaging spectroscopy

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Showing 5 of 15 publications

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