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Obaid, Aftab, 2010. Algorithmic analysis of drug induced apoptosis and proteasome inhibition in cancer cells based on time-lapse microscopy images. Second cycle, A2E. Uppsala: SLU, Dept. of Animal Breeding and Genetics (until 231231)

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Abstract

Time lapse microscopy imaging has revolutionized the study of dynamic events taking place inside living cells. When combined with automated image analysis it provides a powerful tool that enables spatiotemporal large-scale quantification at the level of complete cell population. However, existing image analysis methods are rather limited in analyzing such time lapse datasets. Here is presented a fully automated approach to analyze phase contrast and fluorescence microscopy images using CellProfiler. Cellprofiler is an open source modular package that contains advance algorithms for image analysis for extraction of quantitative information from biological images. In this study pipelines based on CellProfiler were designed and implemented for analyzing drug induced apoptosis and proteasome inhibition in cancer therapy. A method for automatic extraction of apoptotic cells using phase contrast images based on their intrinsic shape features is also proposed.

Main title:Algorithmic analysis of drug induced apoptosis and proteasome inhibition in cancer cells based on time-lapse microscopy images
Authors:Obaid, Aftab
Supervisor:Gustafsson, Mats and Bongcam-Rudloff, Erik
Examiner:Larsson, Rolf
Series:Examensarbete / SLU, Institutionen för husdjursgenetik
Volume/Sequential designation:329
Year of Publication:2010
Level and depth descriptor:Second cycle, A2E
Student's programme affiliation:Other
Supervising department:(VH) > Dept. of Animal Breeding and Genetics (until 231231)
Keywords:Time-lapse microscopy, apoptosis, proteasome inhibition, CellProfiler
URN:NBN:urn:nbn:se:slu:epsilon-s-2243
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-s-2243
Subject. Use of subject categories until 2023-04-30.:Life sciences
Human medicine, health, and safety
Technology
Language:English
Additional Information:One-Year Master's Programme in Biology - Bioinformatics
Deposited On:25 Apr 2013 13:44
Metadata Last Modified:23 Oct 2013 23:15

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