Signal analysis of slit-scan contour data.
Author(s) -
W Härtel,
John W. Betz,
G. von Sengbusch,
Pia Bader
Publication year - 1979
Publication title -
journal of histochemistry and cytochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.971
H-Index - 124
eISSN - 1551-5044
pISSN - 0022-1554
DOI - 10.1177/27.1.374593
Subject(s) - signal (programming language) , sample (material) , slit , fluorescence , noise (video) , biological system , computer science , false alarm , dna , pattern recognition (psychology) , artificial intelligence , acoustics , physics , optics , chemistry , chromatography , biology , image (mathematics) , programming language , biochemistry
As a method for the preselection of alarms in gynecological cell samples, the Battelle Cytophotometry Research Group uses the slit-scan technique to obtain various cell parameters, such as the N/C ratio and the relative DNA content, from fluorescently stained cells, which are aligned one-dimensionally in the tape system designed at Battelle. The system developed at Battelle Institute analyzes all signals that exceed the background noise. As the first step in processing the slit-scan data, several threshold levels permit the separation of various artifacts. In subsequent steps, the nuclear peak is recognized, the nuclear boundaries are calculated, and seven cell parameters are determined. For the alarm detection at present only one parameter, DNA fluorescence, is used for these determinations. Visual assignment of these data to definite objects on the tape makes it possible to obtain frequency distributions of: (a) all recorded objects within the sample on the tape; (b) all signals that are classified as cells; and (c) all types of objects that preferentially cause alarms.
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