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Mapping of C-bandedCrepis chromosomes by imaging methods

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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 75×75 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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References

  • Arndt-Jovin DJ, Robert-Nicoud M. Kaufman SJ, Jovin TM (1985) Fluorescence digital imaging microscopy in cell biology.Science 230: 247–256.

    Google Scholar 

  • Fukui K (1986) Standardization of karyotyping plant chromosomes by a newly developed chromsome image analyzing system (CHIAS).Theor Appl Genet 72: 27–32.

    Google Scholar 

  • Fukui K (1988) Analysis and utility of chromosome information by using the chromosome image analyzing system, CHIAS.Bull Natl Inst Agrobiol Resources 4: 153–176.

    Google Scholar 

  • Fukui K, Iijima K (1991) Somatic chromsome map of rice by imaging methods.Theor Appl Genet 81: 589–596.

    Google Scholar 

  • Fukui K, Kakeda K (1990) Quantitative karyotyping of barley chromosomes by image analysis methods.Genome 33: 450–458.

    Google Scholar 

  • Fukui K, Mukai Y (1988) Condensation pattern as a new image parameter for identification of small chromosomes in plants.Jpn J Genet 63: 359–366.

    Google Scholar 

  • Fukui K, Kadowaki K, Harada K (1989) Implication of the image analysis methods in biotechnology.Jpn Agr Res Quart 22: 253–259.

    Google Scholar 

  • Granlund GH (1973) The use of distribution functions to describe integrated density profiles of human chromosomes.J Theor Biol 40: 573–589.

    Google Scholar 

  • Granum E, Lundsteen C (1979) Description of chromosome banding patterns by band transition sequences.Clin Genet 15: 418–429.

    Google Scholar 

  • Iijima K, Fukui K (1991) Clarification of the conditions for the image analysis of plant chromosomes.Bull Natl Inst Agrobiol Resour 6: 1–58.

    Google Scholar 

  • Ikeda-Komatsu H, Tanaka R (1983) C-bands in the amphiplasty in two interspecific F1 hybrids ofCrepis.Jpn J Genet 58: 405–410.

    Google Scholar 

  • Kamisugi Y, Furuya N, Iijima K, Fukui K (1993) Computer-aided automatic identification of rice chromosomes by image parameters.Chrom Res 1: 189–196.

    Google Scholar 

  • Ledley RS (1964) High speed automatic analysis of biomedical pictures.Science 146: 216–223.

    Google Scholar 

  • Lundsteen C, Piper J (1989)Automation of Cytogenetics. Heidelberg: Springer.

    Google Scholar 

Download references

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Fukui, K., Kamisugi, Y. Mapping of C-bandedCrepis chromosomes by imaging methods. Chromosome Res 3, 79–86 (1995). https://doi.org/10.1007/BF00710667

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  • DOI: https://doi.org/10.1007/BF00710667

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