Title :
Automated detection of chromosomal rearrangements in multicolor fluorescence in-situ hybridization images
Author :
Merchant, F.A. ; Good, K.N. ; Choi, H. ; Castleman, K.R.
Author_Institution :
Adv. Digital Imaging Res. LLC, TX, USA
Abstract :
Multicolor fluorescence in situ hybridization (MFISH) is a 24-color method that allows simultaneous screening of the entire genome, and thus has the potential to delineate chromosomal rearrangements. Although, MFISH facilitates the visual detection of gross chromosomal anomalies, misclassified pixels and cross-hybridization, often makes manual examination difficult and introduce operator bias. Moreover, in the absence of prior knowledge regarding the genetic anomaly, interpretation of MFISH images is impracticable. New image analysis algorithms that operate on multiple karyotypes were developed for the MFISH, to allow automatic detection of chromosomal rearrangements. We were able to automatically discern chromosomal anomalies = 3 Mb in size.
Keywords :
biological techniques; biology computing; cellular biophysics; fluorescence; genetics; image classification; image colour analysis; optical microscopy; 24-color method; MFISH images; automated detection; chromosomal anomalies; chromosomal rearrangement automatic detection; chromosomal rearrangements; cross-hybridization; entire genome; genetic anomaly; gross chromosomal anomalies; image analysis algorithms; manual examination; misclassified pixels; multicolor fluorescence in-situ hybridization images; multiple karyotypes; operator bias; simultaneous screening; visual detection; Bioinformatics; Biological cells; Digital images; Filters; Fluorescence; Genomics; Image analysis; Image color analysis; Labeling; Microscopy;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106284