This project introduces a method to analyze immunocytochemistry images using a simple and reliable approach for bulk quantification of samples. The focus is on calculating the Green to Blue ratio, enabling simultaneous processing of multiple images. This technique provides a comparative assessment of samples, addressing limitations in absolute quantification inherent to traditional immunocytochemistry.
Immunocytochemistry is a robust technique widely used for visualizing antigen locations in tissue samples. While offering unique insights, it is often limited in its quantification capabilities. This project presents a computational solution to complement experimental workflows.
The following libraries are required to run the code:
Python 3.6 or higher
OpenCV
NumPy