Advancements in Cell Imaging and Segmentation

This chapter explores methodologies for generating high-resolution cell images from lower resolution inputs, including the processes of image registration and multi-channel imaging. It highlights the role of machine learning in automating complex cell segmentation and discusses strategies for validating generative techniques to ensure accuracy in analysis. Additionally, the chapter introduces an innovative segmenter that combines traditional methods with human annotation to enhance model performance in identifying diverse cellular structures.