Mr. David W. Sickenberger Profile

David W. Sickenberger

Chemist Supervisor at DEVCOM Chemical Biological Ctr

SPIE Involvement:

Author

Proceedings Article | 2 October 2008 Paper

Overview of the TAC-BIO detector

Jerry Cabalo, Marla DeLucia, Aime Goad, John Lacis, Fiona Narayanan, David Sickenberger

Proceedings Volume 7116, 71160D (2008) https://doi.org/10.1117/12.799843

KEYWORDS: Sensors, Luminescence, Ultraviolet radiation, Particles, Light emitting diodes, Scattering, Aerosols, Mirrors, Atmospheric particles, Biological weapons

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Proceedings Article | 13 October 2006 Paper

Biological aerosol detection with the tactical biological (TAC-BIO) detector

Aime Poldmae, Jerry Cabalo, Marla De Lucia, Fiona Narayanan, Lester Strauch, David Sickenberger

Proceedings Volume 6398, 63980E (2006) https://doi.org/10.1117/12.687944

KEYWORDS: Sensors, Light emitting diodes, Light scattering, Scattering, Prototyping, Luminescence, Mirrors, Aerosols, Optical filters, Particles

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Proceedings Article | 19 May 2006 Paper

Deep-UV solid state light sources in the tactical biological sensor

Jerry Cabalo, Marla De Lucia, Fiona Narayanan, Aime Poldmae, David Sickenberger

Proceedings Volume 6218, 62180D (2006) https://doi.org/10.1117/12.665769

KEYWORDS: Luminescence, Scattering, Particles, Ultraviolet radiation, Light scattering, Deep ultraviolet, Optical filters, Sensors, Light emitting diodes, Atmospheric particles

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A number of strategies to meet the need for a small and inexpensive biosensor that mitigates military and civilian vulnerabilities to biological weapons are currently being pursued. Among them is UV induced biological fluorescence. UV induced biofluorescence is a potentially successful strategy because it involves no chemical consumables and it is an "on-line" detection method where particles can be interrogated without impaction onto a substrate or into a liquid. Indeed, there are already existing fluorescence based sensors already in place, yet these are limited by the cost and power consumption of the laser based UV excitation sources. Fortunately, inexpensive and low power solid state UV sources arising from the Defense Advanced Research Projects Agency's (DARPA) Semiconductor UV Optical Sources (SUVOS) project have become commercially available in wavelengths capable of exciting aromatic amino acids (e.g. tryptophan) and metabolic products (e.g. NADH). The TAC-Bio Sensor is capable of exploiting either source wavelength and will ultimately include both source wavelengths within a single sensor. Initial work with the deep UV sources involves the correct optical filtering for the devices. The primary emission from both the 280 nm and 340 nm devices occurs at the design wavelength and is about 20 nm FWHM, however, there is a tail extending to the longer wavelengths that interferes with the fluorescence signal. A system of optical filters that sufficiently removes the long wavelength component from the UV source is designed and tested for the deep UV sources. Ongoing work with the sensor has confirmed that sensitivity to small biological particles is enhanced with the deeper wavelengths. When the 340 nm sources are placed in the TAC-Bio, it is capable of detecting 4 micron diameter Bacillus globigii (BG, Dugway, washed 4X) spore agglomerates. The deep UV sources show an improvement in signal to noise of 2, permitting the detection of 3 micron diameter BG agglomerates.

Proceedings Article | 9 November 2005 Paper

Trend towards low cost, low power, ultra-violet (UV) based biological agent detectors

David Sickenberger

Proceedings Volume 5994, 59940I (2005) https://doi.org/10.1117/12.631514

KEYWORDS: Sensors, Ultraviolet radiation, Aerosols, Light emitting diodes, Biological weapons, Luminescence, Mirrors, Atmospheric particles, Optical filters, Scattering

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Proceedings Article | 20 May 2005 Paper

Overview of the TAC-BIO sensor

Jerry Cabalo, Richard Sickenberger, Marla De Lucia, John Briles, Aime Poldmae, David Sickenberger

Proceedings Volume 5778, (2005) https://doi.org/10.1117/12.606902

KEYWORDS: Ultraviolet radiation, Sensors, Particles, Photons, Luminescence, Signal to noise ratio, Interference (communication), Visualization, Optical resonators, Atmospheric particles

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Proceedings Article | 29 December 2004 Paper

Micro-UV detector

Jerry Cabalo, Richard Sickenberger, William Underwood, David Sickenberger

Proceedings Volume 5617, (2004) https://doi.org/10.1117/12.569260

KEYWORDS: Particles, Sensors, Luminescence, Atmospheric particles, Ultraviolet radiation, Aerosols, Mirrors, UV optics, Visualization, Signal to noise ratio

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Proceedings Article | 1 September 2004 Paper

Micro UV detector

Jerry Cabalo, Richard Sickenberger, William Underwood, David Sickenberger

Proceedings Volume 5417, (2004) https://doi.org/10.1117/12.539980

KEYWORDS: Particles, Sensors, Ultraviolet radiation, Luminescence, Atmospheric particles, Mirrors, Aerosols, Light emitting diodes, Optical resonators, Visible radiation

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Proceedings Article | 1 April 2003 Paper

CB detection and early warning--fusing disparate sensors into the detection process: program overview

Amnon Birenzvige, David Sickenberger, Felix Reyes, William Underwood, Christian Reiff, David Gonski, Monique Fargues, Bruce Nelson

Proceedings Volume 5099, (2003) https://doi.org/10.1117/12.497980

KEYWORDS: Sensors, Artillery, Situational awareness sensors, Acoustics, Biological detection systems, Information fusion, Detection and tracking algorithms, Roads, Cameras, Computer intrusion detection

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Improved situational awareness is a primary goal for the Objective Force. Knowing where the enemy is and what are the threats to his troops provides the commander with the information he needs to plan his mission and provide his forces with maximum protection from the variety of threats that are present on the battlefield. Sensors play an important role in providing critical information to enhance situational awareness. The sensors that are used on the battlefield include, among others, seismic, acoustic, and cameras in different spectral ranges of the electro-magnetic spectrum. These sensors help track enemy movement and serve as part of an intrusion detection system. Characteristically these sensors are relatively cheap and easy to deploy. Chemical and biological agent detection is currently relegated to sensors that are specifically designed to detect these agents. Many of these sensors are collocated with the troops. By the time alarm is sounded the troops have already been exposed to the agent. In addition, battlefield contaminants frequently interfere with the performance of these sensors and result in false alarms. Since operating in a contaminated environment requires the troops to don protective garments that interfere with their performance we need to reduce false alarms to an absolute minimum. The Edgewood Chemical and Biological Center (ECBC) is currently conducting a study to examine the possibility of detecting chemical and biological weapons as soon as they are deployed. For that purpose we conducted a field test in which the acoustic, seismic and electro-magnetic signatures of conventional and simulated chemical / biological artillery 155mm artillery shells were recorded by an array of corresponding sensors. Initial examination of the data shows a distinct differences in the signatures of these weapons. In this paper we will provide detailed description of the test procedures. We will describe the various sensors used and describe the differences in the signatures generated by the conventional and the (simulated) chemical rounds. This paper will be followed by other papers that will provide more details information gained by the various sensors and describe how fusing the data enhance the reliability of the CB detection process.

Proceedings Article | 1 April 2003 Paper

CB round discrimination fusing visible and infrared camera data

Bruce Nelson, Amnon Birenzvige, William Underwood, David Sickenberger

Proceedings Volume 5099, (2003) https://doi.org/10.1117/12.499294

KEYWORDS: Cameras, Visible radiation, Imaging systems, Infrared cameras, Optical sensors, Long wavelength infrared, Video, Feature extraction, Explosives, Lithium

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In support of the Disparate Sensor Integration (DSI) Program a number of imaging sensors were fielded to determine the feasibility of using information from these systems to discriminate between chemical simulant and high explosives munitions. The imaging systems recorded video from 160 training and 100 blind munitions detonation events. Two types of munitions were used; 155 mm high explosives rounds and 155 mm chemical simulant rounds. In addition two different modes of detonation were used with these two classes of munitions; detonation on impact (point detonation) and detonation prior to impact (airblasts). The imaging sensors fielded included two visible wavelength cameras, a near infrared camera, a mid wavelength infrared camera system and a long wavelength infrared camera system. Our work to date has concentrated on using the data from one of the visible wavelength camera systems and the long wavelength infrared camera system. The results provided in this paper clearly show the potential for discriminating between the two types of munitions and the two detonation modes using these camera data. It is expected that improved classification robustness will be achieved when the camera data described in this paper is combined with results and discriminating features generated from some of the other camera systems as well as the acoustic and seismic sensors also fielded in support of the DSI Program. The paper will provide a brief description of the camera systems and provide still imagery that show the four classes of explosives events at the same point in the munitions detonation sequence in both the visible and long wavelength infrared camera data. Next the methods used to identify frames of interest from the overall video sequence will be described in detail. This will be followed by descriptions of the features that are extracted from the frames of interest. A description of the system that is currently used for performing classification with the extracted features and the results attained on the blind test data set are next described. The work performed to date to fuse information from the visible and long wavelength infrared imaging sensors including the benefits realized are next described. The paper concludes with a description of our ongoing work to fuse imaging sensor data.

Proceedings Article | 7 August 2002 Paper

Use of disparate sensors for the detection of chemical and biological events

David Sickenberger, Amnon Birenzvige, Felix Reyes

Proceedings Volume 4743, (2002) https://doi.org/10.1117/12.443528

KEYWORDS: Sensors, Acoustics, Helium, Cameras, Infrared sensors, Artillery, Radar, Infrared signatures, Seismic sensors, Infrared cameras

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Showing 5 of 10 publications

Conference Committee Involvement (5)

Optically Based Biological and Chemical Detection for Defence V

1 September 2009 | Berlin, Germany

Optically Based Biological and Chemical Detection for Defence IV

16 September 2008 | Cardiff, Wales, United Kingdom

Optically Based Biological and Chemical Detection for Defence

18 September 2007 | Florence, Italy

Optically-Based Biological and Chemical Detection for Defence III

11 September 2006 | Stockholm, Sweden

Optically Based Biological and Chemical Sensing for Defence

25 October 2004 | London, United Kingdom

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