Developing software to characterize gel electrophoresis data
Advisor(s)
Dr. Sangram Sisodia; University of Chicago
Discipline
Medical and Health Sciences
Start Date
21-4-2021 8:50 AM
End Date
21-4-2021 9:05 AM
Abstract
The project is focused around using and implementing image analysis techniques for analysis of Gel Electrophoresis data specifically in Alzheimer disease mice. To do so, experimentation was done with tools like watershed, graphing of intensity to quantify protein concentration in gel electrophoresis bands. The results indicate that the best quantification of protein concentrations of the gel occur at a specific RGB color frame and with a specific intensity. In addition, using watershed and a noise filter had a significant effect upon the accuracy of the determination of protein concentration. In addition, after using the various tools, a map/graph of the intensity was generated and establishing a baseline noise level for the peaks proved to be useful. Overall, the project will help ensure the accuracy of biological data in terms of protein quantification.
Developing software to characterize gel electrophoresis data
The project is focused around using and implementing image analysis techniques for analysis of Gel Electrophoresis data specifically in Alzheimer disease mice. To do so, experimentation was done with tools like watershed, graphing of intensity to quantify protein concentration in gel electrophoresis bands. The results indicate that the best quantification of protein concentrations of the gel occur at a specific RGB color frame and with a specific intensity. In addition, using watershed and a noise filter had a significant effect upon the accuracy of the determination of protein concentration. In addition, after using the various tools, a map/graph of the intensity was generated and establishing a baseline noise level for the peaks proved to be useful. Overall, the project will help ensure the accuracy of biological data in terms of protein quantification.