Lior Schori

I will write a script that:

• Contains information on all the antibodies in our lab, fluorophores intensety, expression levels of commonly used proteins in immunology research (Pandas dataframe).
• Receives input from the user on which proteins are planned to be labeled.
• Generates output indicating which fluorophore to use for each protein in the experiment based on the expression levels of the protein and fluorophore intensity.

1. Load the xlsx sheets containing antibodies information into dataframes using pandas.
2. Generate dictionaries of fluorescence overlap and fluorescence intensity.
3. Generate a list of all available antigens and load it into a user-friendly GUI, from which the user can choose which antibodies he wants to use.
4. Assignment of fluorophores to antigens based on antigen expression level and fluorescence overlap:

• Lowly expressed antigens will receive high intensity fluorophores, and vice versa, unless no available option exists.
• Fluorophores with an overlap of over 0.7 will not be used together.

5. Printing the final result: a dictionary with antigens and their assigned fluorophores. If no matching fluorophores are available, a message will be given.

• Python Version: I am using python 3.12.1
• Pandas Requirement: Make sure you have Pandas version 2.2.1 or higher installed
• Function Files: Ensure that all function files are located in the same folder as the main code.
• Data File: Place the "Ab_list.xlsx" file in the same folder as the main code.

The code will run smoothly. During execution, it will prompt the user to select antigens via a graphical user interface (GUI). Users should press on all the desired antigens and then press submit. The code will proceed based on the user's input.