CellTracker: an automated toolbox for single-cell segmentation and tracking of time-lapse microscopy images

A Summary: Recent advances of long-term time-lapse microscopy have made it easy for researchers to quantify cell behavior and molecular dynamics at single-cell resolution. However, the lack of easy-to-use software tools optimized for customized research is still a major challenge for quantitatively understanding biological processes through microscopy images. Here, we present CellTracker, a highly integrated graphical user interface software, for automated cell segmentation and tracking of time-lapse microscopy images. It covers essential steps in image analysis including project management, image pre-processing, cell segmentation, cell tracking, manually correction and statistical analysis such as the quantification of cell size and fluorescence intensity, etc. Furthermore, CellTracker provides an annotation tool and supports model training from scratch, thus proposing a flexible and scalable solution for customized dataset analysis.

Automated summary

Recent advances in long-term time-lapse microscopy have enabled researchers to quantify cell behavior and molecular dynamics with ease. However, the lack of user-friendly software tools optimized for customized research remains a major challenge. CellTracker is a highly integrated graphical user interface software that automates cell segmentation and tracking in time-lapse microscopy images, offering features such as project management, image pre-processing, and statistical analysis.