Literature DB >> 7469198

Automated chromosome analysis using the Magiscan Image Analyser.

J Graham, C J Taylor.   

Abstract

An automated chromosome analysis system is being developed based on a commercially available image analyzer. At its present stage of development, the system will perform a complete analysis of well-spread, homogeneously stained metaphases. The system incorporates a metaphase finder to detect cells of potentially good quality. Chromosomes in a selected cell are segmented by their grey level using a locally determined threshold. An axis and a centromere are automatically assigned to each chromosome, and a "flexible" lookup table is used to classify the chromosomes into nine groups based on measurements of length and centromeric index. A grey-level karyogram can be displayed. Operator intervention is possible, thus permitting resolution of overlaps, correction of erroneous centromere assignments and modification of the karyogram. Analysis time is about two minutes per cell.

Mesh:

Year:  1980        PMID: 7469198

Source DB:  PubMed          Journal:  Anal Quant Cytol        ISSN: 0190-0471


  5 in total

1.  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

Review 2.  Imaging approaches for chromosome structures.

Authors:  Kiichi Fukui; Seiji Kato
Journal:  Chromosome Res       Date:  2021-02-15       Impact factor: 5.239

3.  Clinical performance of a system for semiautomated chromosome analysis.

Authors:  C Lundsteen; T Gerdes; J Maahr; J Philip
Journal:  Am J Hum Genet       Date:  1987-09       Impact factor: 11.025

4.  The RABIT: a rapid automated biodosimetry tool for radiological triage.

Authors:  Guy Garty; Youhua Chen; Alessio Salerno; Helen Turner; Jian Zhang; Oleksandra Lyulko; Antonella Bertucci; Yanping Xu; Hongliang Wang; Nabil Simaan; Gerhard Randers-Pehrson; Y Lawrence Yao; Sally A Amundson; David J Brenner
Journal:  Health Phys       Date:  2010-02       Impact factor: 1.316

5.  CognitionMaster: an object-based image analysis framework.

Authors:  Stephan Wienert; Daniel Heim; Manato Kotani; Björn Lindequist; Albrecht Stenzinger; Masaru Ishii; Peter Hufnagl; Michael Beil; Manfred Dietel; Carsten Denkert; Frederick Klauschen
Journal:  Diagn Pathol       Date:  2013-02-27       Impact factor: 2.644

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.