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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-392808 |
| Date | January 2019 |
| Creators | Tandon, Aishvarya |
| Publisher | Uppsala universitet, Institutionen för farmaceutisk biovetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.002 seconds