Cell segmentation and tracking

In computer vision, image segmentation is the process of labelling pixels to locate objects and boundaries in digital images. Among countless other applications in computer vision, segmentation is routinely applied for the analysis of biomedical images to identify structures such as organs, tissues, vessels, and even individual cells and their organelles. Tracking is the process of following the located objects through several consecutive images of a video.



The BioComputing group contributed to the development of the CellStar image processing tool for the segmentation and tracking of yeast-like cells or objects.

Currently, our group is investigating the application of machine learning techniques based on convolutional neural networks.