TY - JOUR A1 - Tomholt, Lara A1 - Baum, Daniel A1 - Wood, Robert J. A1 - Weaver, James C. T1 - High-throughput segmentation, data visualization, and analysis of sea star skeletal networks JF - Journal of Structural Biology N2 - The remarkably complex skeletal systems of the sea stars (Echinodermata, Asteroidea), consisting of hundreds to thousands of individual elements (ossicles), have intrigued investigators for more than 150 years. While the general features and structural diversity of isolated asteroid ossicles have been well documented in the literature, the task of mapping the spatial organization of these constituent skeletal elements in a whole-animal context represents an incredibly laborious process, and as such, has remained largely unexplored. To address this unmet need, particularly in the context of understanding structure-function relationships in these complex skeletal systems, we present an integrated approach that combines micro-computed tomography, semi-automated ossicle segmentation, data visualization tools, and the production of additively manufactured tangible models to reveal biologically relevant structural data that can be rapidly analyzed in an intuitive manner. In the present study, we demonstrate this high-throughput workflow by segmenting and analyzing entire skeletal systems of the giant knobby star, Pisaster giganteus, at four different stages of growth. The in-depth analysis, presented herein, provides a fundamental understanding of the three-dimensional skeletal architecture of the sea star body wall, the process of skeletal maturation during growth, and the relationship between skeletal organization and morphological characteristics of individual ossicles. The widespread implementation of this approach for investigating other species, subspecies, and growth series has the potential to fundamentally improve our understanding of asteroid skeletal architecture and biodiversity in relation to mobility, feeding habits, and environmental specialization in this fascinating group of echinoderms. Y1 - 2023 U6 - https://doi.org/10.1016/j.jsb.2023.107955 VL - 215 IS - 2 SP - 107955 ER - TY - JOUR A1 - Becker, Kaitlyn P A1 - Teeple, Clark A1 - Charles, Nicholas A1 - Jung, Yeonsu A1 - Baum, Daniel A1 - Weaver, James C A1 - Mahadevan, L. A1 - Wood, Robert J T1 - Active entanglement enables stochastic, topological grasping JF - PNAS N2 - Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception and motion planning. Here we circumvent the need for feedback or precise planning by using an array of fluidically-actuated slender hollow elastomeric filaments to actively entangle with objects that vary in geometric and topological complexity. The resulting stochastic interactions enable a unique soft and conformable grasping strategy across a range of target objects that vary in size, weight, and shape. We experimentally evaluate the grasping performance of our strategy, and use a computational framework for the collective mechanics of flexible filaments in contact with complex objects to explain our findings. Overall, our study highlights how active collective entanglement of a filament array via an uncontrolled, spatially distributed scheme provides new options for soft, adaptable grasping. Y1 - 2022 U6 - https://doi.org/10.1073/pnas.2209819119 VL - 119 IS - 42 SP - e2209819119 ER -