2026-09-18T22:18:26Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/664522022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Mark Bathe.
Perley, Elizabeth (Elizabeth Bacher)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2011-10-17T21:27:35Z
2011-10-17T21:27:35Z
2011
2011
http://hdl.handle.net/1721.1/66452
755812032
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 70-71).
Budding yeast Saccharomyces cerevisiae is a standard model system for analyzing cellular response as it is related to the cell cycle. The analysis of yeast cell cycle is typically done visually or by using flow cytometry. The first of these methods is slow, while the second offers a limited amount of information about the cell's state. This thesis develops methods for automatically analyzing yeast cell morphology and yeast cell cycle using high content screening with a high-capacity automated imaging system. The images obtained using this method can also provide information about fluorescently labelled proteins, unlike flow cytometry, which can only measure overall fluorescent intensity. The information about yeast cell cycle stage and protein amount and localization can then be connected in order to develop a model of yeast cellular response to DNA damage.
by Elizabeth Perley.
M.Eng.
71 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Budding yeast cell cycle analysis and morphological characterization by automated image analysis
Cellular response to DNA damage in budding yeast
Cellular response to deoxyribonucleic acid damage in budding yeast
Thesis
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Publication
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<Abstract>Budding yeast Saccharomyces cerevisiae is a standard model system for analyzing cellular response as it is related to the cell cycle. The analysis of yeast cell cycle is typically done visually or by using flow cytometry. The first of these methods is slow, while the second offers a limited amount of information about the cell's state. This thesis develops methods for automatically analyzing yeast cell morphology and yeast cell cycle using high content screening with a high-capacity automated imaging system. The images obtained using this method can also provide information about fluorescently labelled proteins, unlike flow cytometry, which can only measure overall fluorescent intensity. The information about yeast cell cycle stage and protein amount and localization can then be connected in order to develop a model of yeast cellular response to DNA damage.</Abstract>
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