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Dryad

Data from: TipQuant: A robust algorithm for quantitative analysis of spatiotemporally dynamic activities in tip-growing cells

Abstract

Understanding the spatiotemporal dynamics of structural and signaling molecules is essential for elucidating the mechanisms and functions of cell polarity. However, manual quantification of these dynamics is extremely time-consuming, hindering progress in the field. Here, we present TipQuant, an automated analysis tool that robustly detects tips and analyzes the spatiotemporal dynamics of fluorescently labeled molecules and structures on plasma membranes and in the cytoplasm at the apices of tip-growing cells, enabling quantitative analysis of signaling and structural components in these systems. This data deposit includes all video files used to generate the figures.