Modelling of chromatin morphologies in breast cancer cells undergoing apoptosis using generalized Cauchy field.

• Main Authors: Muniandy, Sithi V., Stanslas, Johnson
• Format: Article
• Language: English; English
• Published: Elsevier 2008
• Online Access: http://psasir.upm.edu.my/id/eprint/15672/1/Modelling%20of%20chromatin%20morphologies%20in%20breast%20cancer%20cells%20undergoing%20apoptosis%20using%20generalized%20Cauchy%20field.pdf; http://psasir.upm.edu.my/id/eprint/15672/; http://www.elsevier.com

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.