Cell profiling of drug treated high content screening image data
High Content Screening (HCS) is an automated platform based on light microscopy that analyzes large number of individual cells with sub-cellular resolution. There are needs to develop analytical and visualization tools to extract, manage and simplify large scale HCS data sets such that it can be und...
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| Format: | Thesis |
| Language: | English |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/10356/60706 |
| _version_ | 1826122908714401792 |
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| author | Ng, Alvin Yu-Jin |
| author2 | Rajapakse Jagath Chandana |
| author_facet | Rajapakse Jagath Chandana Ng, Alvin Yu-Jin |
| author_sort | Ng, Alvin Yu-Jin |
| collection | NTU |
| description | High Content Screening (HCS) is an automated platform based on light microscopy that analyzes large number of individual cells with sub-cellular resolution. There are needs to develop analytical and visualization tools to extract, manage and simplify large scale HCS data sets such that it can be understood and developed into new knowledge. We developed a simple, biological interpretable and scalable framework for analyzing HCS Image Data. We proposed a method of selecting static image based features, creating cytological profiles by clustering cell morphologies and techniques to ascertain differential effects based on drugs. Next, we introduced a Support Vector Machine (SVM) classifier to make predictions on actin organization based on cellular, nuclear and cytoplasm information. Finally, we conducted live imaging experiments to better understand the biology of the cytoskeleton on cell motility and validated the previously determined and observed drug trends and profiles. |
| first_indexed | 2024-10-01T05:56:18Z |
| format | Thesis |
| id | ntu-10356/60706 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:56:18Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/607062020-11-01T11:32:11Z Cell profiling of drug treated high content screening image data Ng, Alvin Yu-Jin Rajapakse Jagath Chandana School of Computer Science and Engineering Singapore-MIT Alliance Programme DRNTU::Engineering::Computer science and engineering High Content Screening (HCS) is an automated platform based on light microscopy that analyzes large number of individual cells with sub-cellular resolution. There are needs to develop analytical and visualization tools to extract, manage and simplify large scale HCS data sets such that it can be understood and developed into new knowledge. We developed a simple, biological interpretable and scalable framework for analyzing HCS Image Data. We proposed a method of selecting static image based features, creating cytological profiles by clustering cell morphologies and techniques to ascertain differential effects based on drugs. Next, we introduced a Support Vector Machine (SVM) classifier to make predictions on actin organization based on cellular, nuclear and cytoplasm information. Finally, we conducted live imaging experiments to better understand the biology of the cytoskeleton on cell motility and validated the previously determined and observed drug trends and profiles. Doctor of Philosophy (SCE) 2014-05-29T06:37:21Z 2014-05-29T06:37:21Z 2012 2012 Thesis http://hdl.handle.net/10356/60706 en 169 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Ng, Alvin Yu-Jin Cell profiling of drug treated high content screening image data |
| title | Cell profiling of drug treated high content screening image data |
| title_full | Cell profiling of drug treated high content screening image data |
| title_fullStr | Cell profiling of drug treated high content screening image data |
| title_full_unstemmed | Cell profiling of drug treated high content screening image data |
| title_short | Cell profiling of drug treated high content screening image data |
| title_sort | cell profiling of drug treated high content screening image data |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/60706 |
| work_keys_str_mv | AT ngalvinyujin cellprofilingofdrugtreatedhighcontentscreeningimagedata |