Images serve as a medium for understanding complex biological structures and processes in biomedical research. From the microscopic details of cellular mechanisms to the macroscopic views provided by MRI and CT scans, image processing has become a key component in advancing medical knowledge and improving patient care. The ability to analyze and interpret these images supports the work of researchers, clinicians, and anyone involved in the biomedical field [1, 2]. In this chapter we discuss the basic concepts of image processing and demonstrates how they are applied within biomedical research contexts. Using Python tools, we will explore widely used methods for extracting meaningful information from biomedical images.