Screening of apoptotic genes by morphological analysis of high throughput fluorescence microscopy images

Yongsu Chae, Soo Jung Kim, Desok Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Apoptosis is a programmed cell death required for development and maintenance of normal tissue. However, cancer cells often evade apoptosis by inactivating apoptotic genes. Thus, the discovery of apoptotic genes has become important in cancer research. We developed a morphological analysis to quantify apoptosis automatically. Cellular images were acquired by high throughput fluorescence microscopy and normalized. Nuclear and chromatin images were segmented by tophat operations and touching nuclei were further separated by erosion, labeling, and conditional dilation. Shape and intensity features were extracted from nuclear and chromatin images to produce discriminant functions by logistic regression. Nuclear objects were classified as isolated and touching with 91.7% accuracy. Apoptotic and mitotic nuclei were identified with 88.8% accuracy. Automatic apoptotic rates were highly correlated with manual rates (ρ = 0.91, p<0.01). Finally, 20 genes that included seven novel apoptotic genes were found out of 21 genes previously reported to show 3-fold increase of apoptosis.

Original languageEnglish (US)
Title of host publicationProceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007
Pages16-20
Number of pages5
DOIs
StatePublished - Dec 1 2007
EventFrontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007 - Jeju Island, Korea, Republic of
Duration: Oct 11 2007Oct 13 2007

Publication series

NameProceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007

Other

OtherFrontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007
CountryKorea, Republic of
CityJeju Island
Period10/11/0710/13/07

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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  • Cite this

    Chae, Y., Kim, S. J., & Kim, D. (2007). Screening of apoptotic genes by morphological analysis of high throughput fluorescence microscopy images. In Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007 (pp. 16-20). [4524072] (Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007). https://doi.org/10.1109/FBIT.2007.46