Week 1: Assay Studies and Implementation
March 1, 2024
Hello everyone! Welcome to Week 1 of my Senior Project. This week, I learned some basics with Jupyter Notebook, studied some assay implementation, and created a GitHub repository.
To start, I learned the basics of setting up Jupyter Notebook, and some basic packages such as the Pandas package. Pandas is a great data analysis package; one thing that it can do is read an Excel file and allow the data within to be manipulated and analyzed. I brushed up on some basic Python skills such as iterators, conditionals, lists, etc.
I also studied the theory of some assays that can be used for my project, including cell viability, colony formation, and ELISA, and studied the mathematical formulas used to analyze the readouts.
To get a head start, I successfully manipulated an Excel file for a basic cell viability assay. The most basic cell viability assay (MTT) is a colorimetric assay that measures absorbance values from the dissolution of colored formazan salts. After gathering the absorbance values, a researcher has to perform several calculations on the data to generate graphs. I was able to successfully automate the calculations, but I am yet to implement the graphs.
Next week, I’ll be researching more assays and their analysis process, and collecting sample data!
Link to the project here.
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