Automated biodosimetry using digital image analysis of fluorescence in situ hybridization specimens

被引:2
|
作者
Castleman, KR [1 ]
Schulze, M [1 ]
Wu, Q [1 ]
机构
[1] Percept Sci Instruments Inc, League City, TX 77573 USA
关键词
D O I
10.2307/3579719
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Fluorescence in situ hybridization (FISH) of metaphase chromosome spreads is valuable for monitoring the radiation dose to circulating lymphocytes. At low dose levels, the number of cells that must be examined to estimate aberration frequencies is quite large. An automated microscope that can perform this analysis autonomously on suitably prepared specimens promises to make practical the large-scale studies that will be required for biodosimetry in the future. This paper describes such an instrument that is currently under development. We use metaphase specimens in which the five largest chromosomes have been hybridized with different-colored whole-chromosome painting probes. An automated multiband fluorescence microscope locates the spreads and counts the number of chromosome components of each color. Digital image analysis is used to locate and isolate the cells, count chromosome components, and estimate the proportions of abnormal cells. Cells exhibiting more than two chromosomal fragments in any color correspond to a clastogenic event. These automatically derived counts are corrected for statistical bias and used to estimate the overall rate of chromosome breakage. Overlap of fluorophore emission spectra prohibits isolation of the different chromosomes into separate color channels. Image processing effectively isolates each fluorophore to a single monochrome image, simplifying the task of counting chromosome fragments and reducing the error in the algorithm. Using proportion estimation, we remove the bias introduced by counting errors, leaving accuracy restricted by sample size considerations alone. (C) 1997 by Radiation Research Society.
引用
收藏
页码:S71 / S75
页数:5
相关论文
共 50 条
  • [1] Automated image analysis for quantitative fluorescence in situ hybridization with environmental samples
    Zhou, Zhi
    Pons, Marie Noelle
    Raskin, Lutgarde
    Zilles, Julie L.
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2007, 73 (09) : 2956 - 2962
  • [2] Assessment of fluorescence in situ hybridization, digital image analysis and routine cytology for cytologic Barrett's esophagus specimens
    Brankley, Shannon
    Barr-Fritcher, Emily G.
    Campion, Michael B.
    Legator, Mona
    Lutzke, Lori S.
    Voss, Jesse S.
    Kipp, Benjamin R.
    Morrison, Larry E.
    Sebo, Thomas J.
    Wang, Kenneth K.
    Halling, Kevin C.
    GASTROENTEROLOGY, 2007, 132 (04) : A254 - A254
  • [3] Automation of Fluorescence in situ Hybridization Processing and Digital Analysis
    Azim, M.
    Khan, W.
    Stevens, J.
    Dokus, B.
    Bickford, M.
    Bao, J.
    Loo, E.
    Tafe, L.
    Tsongalis, G.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2020, 22 (11): : S89 - S89
  • [4] Analysis of polyomavirus-infected renal transplant recipients' urine specimens - Correlation of routine urine cytology, fluorescence in situ hybridization, and digital image analysis
    Kipp, BR
    Sebo, TJ
    Griffin, MD
    Ihrke, JM
    Halling, KC
    AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2005, 124 (06) : 854 - 861
  • [5] Array Comparative Genomic Hybridization and Fluorescence In Situ Hybridization Analysis of Endometrial Carcinoma Specimens
    Voss, J. S.
    Kipp, B. R.
    Peterson, L. M.
    Medeiros, F.
    Campion, M. B.
    Pestova, E.
    Jacobson, K. B.
    Legator, M. S.
    Clayton, A. C.
    Halling, K. C.
    LABORATORY INVESTIGATION, 2011, 91 : 269A - 269A
  • [6] Reproducibility of fluorescence in situ hybridization on urine specimens
    Brankley, Shannon
    Adams, Elizabeth
    Christensen, Michael
    Everts, Cortney
    Lund, Jennifer
    Oberg, Trynda
    Plagge, Amy
    Zieman, Angela
    Kipp, Benjamin
    Hailing, Kevin
    CANCER CYTOPATHOLOGY, 2007, 111 (05): : 447 - 447
  • [7] Fluorescence in situ hybridization (FISH) signal analysis using automated generated projection images
    Wang, Xingwei
    Chen, Xiaodong
    Li, Yuhua
    Liu, Hong
    Li, Shibo
    Zhang, Roy R.
    Zheng, Bin
    ANALYTICAL CELLULAR PATHOLOGY, 2012, 35 (5-6) : 395 - 405
  • [8] Nuclear morphometric features of diploid and non-diploid urothelial cells in urine specimens evaluated by digital image analysis and fluorescence in situ hybridization
    Riehle, DL
    Halling, KC
    Lohse, CM
    Pankratz, VS
    Sebo, TJ
    LABORATORY INVESTIGATION, 2002, 82 (01) : 344A - 344A
  • [9] Toward an automated system for the analysis of cytogenetic abnormalities using fluorescence in situ hybridization technique
    Catanzariti, E
    Esposito, RD
    Santilli, R
    Santoro, M
    12TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS, 2003, : 289 - 294
  • [10] Nuclear morphometric features of diploid and non-diploid urothelial cells in urine specimens evaluated by digital image analysis and fluorescence in situ hybridization
    Riehle, DL
    Halling, KC
    Lohse, CM
    Pankratz, VS
    Sebo, TJ
    MODERN PATHOLOGY, 2002, 15 (01) : 344A - 344A