Cell Segmentation Program Using Built-in MATLAB Functions

This MATLAB program for cell segmentation leverages built-in image processing functions to assist researchers in better understanding cellular structures and functions. The implementation employs a series of sophisticated algorithms and techniques including image preprocessing, thresholding methods, and morphological operations to process imaging data for accurate cell segmentation. Cell segmentation represents a critical task in biomedical research, enabling scientists to identify and analyze morphological characteristics of cells, thereby facilitating in-depth studies of cellular physiological processes and disease mechanisms. Through this MATLAB code implementation, researchers can efficiently perform cell segmentation tasks using functions such as imbinarize for thresholding, regionprops for feature extraction, and watershed algorithms for separating overlapping cells. This program provides a streamlined workflow for cell biology research, contributing significantly to advancements in cellular biology studies by offering customizable parameters for different imaging conditions and cell types.