Full identification of a growing and branching network's spatio-temporal structures.

ABSTRACT: Experimentally monitoring the kinematics of branching network growth is a tricky task, given the complexity of the structures generated in three dimensions. One option is to drive the network in such a way as to obtain two-dimensional growth, enabling a collection of independent images to be obtained. The density of the network generates ambiguous structures, such as overlaps and meetings, which hinder the reconstruction of the chronology of connections. In this paper, we propose a general method for global network reconstruction. Each network connection is defined by a unique label, enabling it to be tracked in time and space. In this work, we distinguish between lateral and apical branches on the one hand, and extremities on the other. Finally, we reconstruct the network after identifyin

SUBMITTER: Chassereau T 

PROVIDER: S-EPMC11788500 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature