| US 7,518,723 B2 | ||
| Systems and methods for detecting radiation, biotoxin, chemical, and biological warfare agents using a multiple angle light scattering (MALS) instrument | ||
| John A. Adams, Escondido, Calif. (US); Kristina M. Crousore, Oceanside, Calif. (US); Cherish K. Teters, San Diego, Calif. (US); John Ricardi, Camarillo, Calif. (US); David L. McCarty, Cincinnati, Ohio (US); and Michael Tutrow, Solana Beach, Calif. (US) | ||
| Assigned to JMAR Technologies, Inc., San Diego, Calif. (US) | ||
| Filed on Nov. 29, 2006, as Appl. No. 11/564,777. | ||
| Application 11/564777 is a continuation in part of application No. 11/539166, filed on Oct. 05, 2006. | ||
| Application 11/539166 is a continuation in part of application No. 11/381346, filed on May 02, 2006. | ||
| Application 11/381346 is a continuation in part of application No. 11/231350, filed on Sep. 19, 2005. | ||
| Prior Publication US 2007/0195324 A1, Aug. 23, 2007 | ||
| This patent is subject to a terminal disclaimer. | ||
| Int. Cl. G01N 21/00 (2006.01); G01N 15/02 (2006.01) | ||
| U.S. Cl. 356—338 [356/336] | 64 Claims |
| 1. A system for detecting an addition of a toxin to liquid, the system comprising:
an optical axis;
a target zone, the optical axis intersecting the target zone;
at least one light source configured to generate a light beam
and direct the light beam through the target zone;
an optic lens system configured to collect light scattered by a particle associated with the toxin in the liquid in the target
zone and direct the scattered light to at least one detector, the detector configured to detect the light and generate a digital
signal; and
a computer system coupled with the detector, the computer system configured to execute a set of programmed instructions to
identify and classify the particle associated with the toxin, compare counts per unit time to a threshold, and generate an
alarm, the instructions causing the computer system to:
extract events from the digital signal;
calculate the similarity between the extracted event and a known event;
classify the event based on the similarity;
calculate a new count rate for the classification type associated with the toxin;
compare the new count rate to a threshold; and
generate an alarm if the count rate falls below the threshold.
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