Literature DB >> 7749566

Mapping of C-banded Crepis chromosomes by imaging methods.

K Fukui1, Y Kamisugi.   

Abstract

Crepis capillaris is a highly suitable model plant for a computer-aided analysis of chromosomes because of its small number of chromosomes and well-defined bands. The identification of both large and small bands by means of profiles [grey value-function (position)] is frequently not possible with simple discrimination. In this case, dynamic curve fitting gives exact results by sliding discrimination. The application of low-pass filters, with a filter matrix size of 75 x 75 pixels, to the original image generates a reference image that can be used for sliding discrimination. The relevant bands are visible by the subtraction of the filtered image from the original image. The computerized bands correspond exactly to band regions recognized visually. Human vision is another approach to improve the quantification in cytogenetic results. The connection between the visual inspection and the imaging methods will reduce the subjective interpretation of individual researchers. The knowledge-based analysis may be a significant factor in the near future to answer unsolved questions.

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Mesh:

Year:  1995        PMID: 7749566     DOI: 10.1007/BF00710667

Source DB:  PubMed          Journal:  Chromosome Res        ISSN: 0967-3849            Impact factor:   5.239


  7 in total

1.  HIGH-SPEED AUTOMATIC ANALYSIS OF BIOMEDICAL PICTURES.

Authors:  R S LEDLEY
Journal:  Science       Date:  1964-10-09       Impact factor: 47.728

2.  Standardization of karyotyping plant chromosomes by a newly developed chromosome image analyzing system (CHIAS).

Authors:  K Fukui
Journal:  Theor Appl Genet       Date:  1986-04       Impact factor: 5.699

3.  Description of chromosome banding patterns by band transition sequences: a new basis for automated chromosome analysis.

Authors:  C Lundsteen; E Granum
Journal:  Clin Genet       Date:  1979-05       Impact factor: 4.438

4.  The use of distribution functions to describe integrated density profiles of human chromosomes.

Authors:  G H Granlund
Journal:  J Theor Biol       Date:  1973-08-22       Impact factor: 2.691

5.  Computer-aided automatic identification of rice chromosomes by image parameters.

Authors:  Y Kamisugi; N Furuya; K Iijima; K Fukui
Journal:  Chromosome Res       Date:  1993-09       Impact factor: 5.239

6.  Fluorescence digital imaging microscopy in cell biology.

Authors:  D J Arndt-Jovin; M Robert-Nicoud; S J Kaufman; T M Jovin
Journal:  Science       Date:  1985-10-18       Impact factor: 47.728

7.  Somatic chromosome map of rice by imaging methods.

Authors:  K Fukui; K Iijima
Journal:  Theor Appl Genet       Date:  1991-05       Impact factor: 5.699

  7 in total
  1 in total

1.  Quantitative chromosome map of the polyploid Saccharum spontaneum by multicolor fluorescence in situ hybridization and imaging methods.

Authors:  S Ha; P H Moore; D Heinz; S Kato; N Ohmido; K Fukui
Journal:  Plant Mol Biol       Date:  1999-04       Impact factor: 4.076

  1 in total

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