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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tjhi, W.-C. Lee Kee Khoon Hung, T. Ong Yew Soon Hung, I.T.W. Racine, V. Bard, F. |
| Copyright Year | 2010 |
| Description | Author affiliation: Nanyang Technological University, Republic of Singapore (Ong Yew Soon; Hung, I.T.W.) || Institute of Molecular and Cell Biology, Republic of Singapore (Racine, V.; Bard, F.) || Institute of High Performance Computing, Republic of Singapore (Tjhi, W.-C.; Lee Kee Khoon; Hung, T.) |
| Abstract | Most quantitative cell image-based screening analyses are dependent on thorough user supervision based on assay-specific knowledge. To minimize human bias in analysis, we introduce an automated methodology of displaying screen phenotypes using clustering that provides intuitive visuals to guide user supervision when required. Our premise is to automatically present to users an overview of screen phenotype-contents to assist in planning assay and analysis of a new screen. Our methodology starts from numerical features of cell-images, removes outliers through the density-based clustering OPTICS, identifies significant phenotypes by the Hierarchical Agglomerative Clustering and Dynamic Tree Cut techniques, and displays representative cell images as phenotype-signatures. User supervision needed to detect outliers and adjust the desired heterogeneity-level of identified phenotypes is facilitated respectively by an intuitive density plot and a systematic phenotype display. The methodology was tested on various phenotypes of the Golgi apparatus, an intracellular structure essential for cell physiology and protein secretion. The Golgi apparatus was targeted by various drug treatments. This test demonstrates the methodology's potentials by providing a comprehensive categorization of Golgi phenotypes. |
| Starting Page | 252 |
| Ending Page | 257 |
| File Size | 651278 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424483037 |
| e-ISBN | 9781424483044 |
| DOI | 10.1109/BIBMW.2010.5703808 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Couplings Drugs cell image analysis Visualization Accuracy Systematics phenotype clustering High Content Screening drug analysis Optics Feature extraction |
| Content Type | Text |
| Resource Type | Article |
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