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Advantages of Live-Cell Imaging, its Time Series Data Analysis and Automation in In-Vitro Toxicity Assays during Drug Discovery and Development
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. (Pharmaceutical Bioinformatics Research Group)
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

Live cell imaging has not been an active method of analysis during the drug discovery and development phase due to several limitations. This does not change the fact that it along with its time series data analysis describes an undergoing process better than a conventional study with fixed time points. In this project, I was a part of a team which are currently developing live cell morphological profiling assays which allows measuring cells’ morphology and perturbations caused on it due to toxicity by different treatments. Later, I attempted automating a group of robots to perform these assays automatically. I also developed a few software pipelines which generate quantitative data from live cell images, and performs analysis and data visualization on this quantitative time series data. Later, I implemented these methods on one of the experiment set and displayed importance of time series data by showing different trends displayed by different treatments for different morphology descriptors.

Place, publisher, year, edition, pages
2019. , p. 23
Keywords [en]
live-cell imaging, Cell Painting, morphological profiling, drug discovery
National Category
Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-392808OAI: oai:DiVA.org:uu-392808DiVA, id: diva2:1350368
Educational program
Master's Programme in Pharmaceutical Modelling
Supervisors
Examiners
Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-09-11Bibliographically approved

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