Dendritic Like Structure

Dendritic-like structures, branching formations found in diverse systems from neuronal networks to metallic alloys and corals, are the focus of intense research aiming to understand their morphology, function, and impact on overall system behavior. Current research employs advanced image analysis techniques, including 3D convolutional neural networks (CNNs) like U-Net and novel transformer-based architectures, to segment and analyze these complex structures, extracting quantitative features for detailed morphological analysis. This work is significant for advancing our understanding of biological processes, improving the design of artificial neural networks, and enabling quality control in materials science applications like lithium-ion batteries. The insights gained are crucial for optimizing both natural and artificial systems that exhibit dendritic-like architectures.