Modelling of chromatin morphologies in breast cancer cells undergoing apoptosis using generalized Cauchy field.
Chromatin morphologies in human breast cancer cells treated with an anti-cancer agent are analyzed at their early stage of programmed cell death or apoptosis. The gray-level images of nuclear chromatin are modelled as random fields. We used two-dimensional isotropic generalized Cauchy field to characterize local self-similarity and global long-range dependence behaviors in the image spatial data. Generalized Cauchy field allows the description of fractal behavior inferred from fractal dimension and the long-range dependence inferred from correlation exponent to be carried out independently. We demonstrated the usefulness of locally self-similar random fields with long-range dependence for modelling chromatin condensation.
Muniandy
S V
SV
Department of Physics, University of Malaya, Kuala Lumpur, Malaysia. msithi@um.edu.my
Stanslas
J
J
D000465:Algorithms; D017209:Apoptosis; D001943:Breast Neoplasms / Q000473:pathology* / Q000648:ultrastructure*; D002843:Chromatin / Q000473:pathology* / Q000648:ultrastructure*; D003198:Computer Simulation; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D046529:Microscopy, Electron, Transmission / Q000379:methods; D008954:Models, Biological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
D002843:Chromatin