  Understanding transcription factor dynamics is crucial for unraveling the
regulatory mechanisms of gene expression that underpin cellular function and
development. Measurements of transcription factor subcellular movements are
essential for developing predictive models of gene expression. However,
obtaining these quantitative measurements poses significant challenges due to
the inherent variability of biological data and the need for high precision in
tracking the movement and interaction of molecules. Our computational pipeline
provides a solution to these challenges, offering a comprehensive approach to
the quantitative analysis of transcription factor dynamics. Our pipeline
integrates advanced image segmentation to accurately delineate individual
nuclei, precise nucleus tracking to monitor changes over time, and detailed
intensity extraction to measure fluorescence as a proxy for transcription
factor activity. Combining our pipeline with techniques such as fluorescence
recovery after photobleaching enables the estimation of vital biophysical
parameters, such as transcription factor import and export rates.
