Modelling of chromatin morphologies in breast cancer cells undergoing apoptosis using generalized Cauchy field
Abstract
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.
Keywords: Locally self-similar processes, Fractal dimension, Long-range dependence, Apoptosis, Morphology
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PII: S0895-6111(08)00077-3
doi:10.1016/j.compmedimag.2008.07.003
© 2008 Elsevier Ltd. All rights reserved.
