MATCH RECOGNITION IN CHROMOSOME BAND STRUCTURE.

Abstract

For over thirty years research geneticists have been studying the chromosomes of the species Drosophila (fruitfly). These chromosomes, suitably prepared and stained, have an appearance similar to earthworms with light and dark bands around them. They are large enough to be seen clearly under a high power light microscope. These patterns of bands reflect the genetic heritage of the fly and can be used to trace inherited traits. Researchers examine enlarged photomicrographs of the chromosomes to locate sections with closely similar band patterns. An application of pattern recognition techniques to this problem has yielded a semi-automatic method of detecting band patter similarities. The chromosome photographs are optically scanned in a specially constructed densitometer. This generates a plot of optical density versus position along the length of the chromosome. The density plot is measured to determine the widths and spacings of the bands. A sequence of band widths and spacings is used as the mathematical representation of the chromosome. These sequences are used as input data for a computer program which locates matching sections. The computer program uses a method which was designed by inspection of known band matches. It checks the similarity of all combinations of sections and prints out the location of those which match. The result is a listing of probable matching sections. Preliminary testing on a number of chromosomes indicates that the match recognition accuracy is as high as 90% on data from good quality photographs. It is expected that this method will be of considerable aid to researchers interested in Drosophila chromosome band structure. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 15, 1967
Accession Number
AD0808715

Entities

People

  • A. J. Welch
  • Kenneth R. Castleman

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Band Structures
  • Chromosomes
  • Computer Programs
  • Computers
  • Diptera
  • Drosophila
  • Energy Bands
  • Pattern Recognition
  • Photographs
  • Recognition
  • Sequences

Readers

  • Computer Vision.
  • Molecular and genetic basis of cancer.
  • Spectroscopy.

Technology Areas

  • AI & ML
  • Biotechnology
  • Space