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Detection algorithm, data transmissi...

Wade, Brad Don.

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Detection algorithm, data transmission, and graphical user interface for a multi-wavelength microbial detection instrument.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Detection algorithm, data transmission, and graphical user interface for a multi-wavelength microbial detection instrument./
Author:	Wade, Brad Don.
Description:	82 p.
Notes:	Major Professor: Linda S. Powers.
Contained By:	Masters Abstracts International40-06.
Subject:	Biology, Microbiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1409349
ISBN:	0493662715

Detection algorithm, data transmission, and graphical user interface for a multi-wavelength microbial detection instrument.
Wade, Brad Don.

Detection algorithm, data transmission, and graphical user interface for a multi-wavelength microbial detection instrument. - 82 p.

Major Professor: Linda S. Powers.

Thesis (M.S.)--Utah State University, 2002.

The results of the detection algorithm show that it can indeed distinguish between the desired sample groups and lists ideas for further research and development.

ISBN: 0493662715Subjects--Topical Terms:

1017734
Biology, Microbiology.

Detection algorithm, data transmission, and graphical user interface for a multi-wavelength microbial detection instrument.
LDR:01960nam 2200313 a 45 001 937903
005 20110511
008 110511s2002 eng d
020 $a 0493662715
035 $a (UnM)AAI1409349
035 $a AAI1409349
040 $a UnM $c UnM
100 1 $a Wade, Brad Don. $3 1261760
245 1 0 $a Detection algorithm, data transmission, and graphical user interface for a multi-wavelength microbial detection instrument.
300 $a 82 p.
500 $a Major Professor: Linda S. Powers.
500 $a Source: Masters Abstracts International, Volume: 40-06, page: 1594.
502 $a Thesis (M.S.)--Utah State University, 2002.
520 $a The results of the detection algorithm show that it can indeed distinguish between the desired sample groups and lists ideas for further research and development.
520 $a The goal was to develop a detection algorithm for a microbial detection instrument that would, among other things, successfully distinguish between live and dead bacterial cells, bacterial spores, bacterial media, and minimal media/water, with high detection rates and low false alarm rates. It was desired that this occur in real time without any sample contact.
520 $a This thesis describes the means by which a detection algorithm was developed that quickly detects bacteria in aqueous solutions with detection limits near 10<super>1</super> cells/cm<super>3</super> by using the intrinsic fluorescent properties of bacteria. It also describes the data transmission protocol used to transmit information between the PC and the instrument over a potentially lossy channel and describes the software development of the graphical user interface.
590 $a School code: 0241.
650 4 $a Biology, Microbiology. $3 1017734
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0410
690 $a 0544
690 $a 0984
710 2 0 $a Utah State University. $3 960049
773 0 $t Masters Abstracts International $g 40-06.
790 $a 0241
790 1 0 $a Powers, Linda S., $e advisor
791 $a M.S.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1409349