DSP-Based dual-polarity mass spectrum pattern recognition for bio-detection

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The Bio-Aerosol Mass Spectrometry (BAMS) instrument analyzes single aerosol particles using a dual-polarity time-of-flight mass spectrometer recording simultaneously spectra of thirty to a hundred thousand points on each polarity. We describe here a real-time pattern recognition algorithm developed at Lawrence Livermore National Laboratory that has been implemented on a nine Digital Signal Processor (DSP) system from Signatec Incorporated. The algorithm first preprocesses independently the raw time-of-flight data through an adaptive baseline removal routine. The next step consists of a polarity dependent calibration to a mass-to-charge representation, reducing the data to about five hundred to a thousand channels per polarity. The ... continued below

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Riot, V; Coffee, K; Gard, E; Fergenson, D; Ramani, S & Steele, P April 21, 2006.

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The Bio-Aerosol Mass Spectrometry (BAMS) instrument analyzes single aerosol particles using a dual-polarity time-of-flight mass spectrometer recording simultaneously spectra of thirty to a hundred thousand points on each polarity. We describe here a real-time pattern recognition algorithm developed at Lawrence Livermore National Laboratory that has been implemented on a nine Digital Signal Processor (DSP) system from Signatec Incorporated. The algorithm first preprocesses independently the raw time-of-flight data through an adaptive baseline removal routine. The next step consists of a polarity dependent calibration to a mass-to-charge representation, reducing the data to about five hundred to a thousand channels per polarity. The last step is the identification step using a pattern recognition algorithm based on a library of known particle signatures including threat agents and background particles. The identification step includes integrating the two polarities for a final identification determination using a score-based rule tree. This algorithm, operating on multiple channels per-polarity and multiple polarities, is well suited for parallel real-time processing. It has been implemented on the PMP8A from Signatec Incorporated, which is a computer based board that can interface directly to the two one-Giga-Sample digitizers (PDA1000 from Signatec Incorporated) used to record the two polarities of time-of-flight data. By using optimized data separation, pipelining, and parallel processing across the nine DSPs it is possible to achieve a processing speed of up to a thousand particles per seconds, while maintaining the recognition rate observed on a non-real time implementation. This embedded system has allowed the BAMS technology to improve its throughput and therefore its sensitivity while maintaining a large dynamic range (number of channels and two polarities) thus maintaining the systems specificity for bio-detection.

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PDF-file: 6 pages; size: 75.8 Kbytes

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  • Presented at: Fourth IEEE Workshop on sensor array and multi-channel processing, Boston, MA, United States, Jul 12 - Jul 14, 2006

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  • Report No.: UCRL-CONF-220882
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 919613
  • Archival Resource Key: ark:/67531/metadc898685

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  • April 21, 2006

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  • Sept. 27, 2016, 1:39 a.m.

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  • Nov. 23, 2016, 4:53 p.m.

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Riot, V; Coffee, K; Gard, E; Fergenson, D; Ramani, S & Steele, P. DSP-Based dual-polarity mass spectrum pattern recognition for bio-detection, article, April 21, 2006; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc898685/: accessed July 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.