NDLI: Screening of Apoptotic Genes by Morphological Analysis of High Throughput Fluorescence Microscopy Images

Content Provider	IEEE Xplore Digital Library
Author	Yongsu Chae Soo Jung Kim Desok Kim
Copyright Year	2007
Description	Author affiliation: Sch. of Eng., Inf. & Commun. Univ., Daejeon (Yongsu Chae)
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 (p = 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.
Starting Page	16
Ending Page	20
File Size	519488
Page Count	5
File Format	PDF
ISBN	9780769529998
DOI	10.1109/FBIT.2007.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-11
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image analysis Shape Microscopy Fluorescence Throughput Feature extraction Labeling Cancer Logistics
Content Type	Text
Resource Type	Article

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