ArticleJournal of the Royal Society, Interface2018
Imaging and analysis of a three-dimensional spider web architecture.
Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Optimizing Biomimetic 3D Disordered Fibrous Network Structures for Lightweight, High-Strength Materials via Deep Reinforcement Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Biomimetic Silk Architectures Outperform Animal Horns in Strength and Toughness.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Modeling and design of heterogeneous hierarchical bioinspired spider web structures using deep learning and additive manufacturing.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Methods for Silk Property Analyses across Structural Hierarchies and Scales.Molecules (Basel, Switzerland) · 2023Review
- High Performance Marine and Terrestrial Bioadhesives and the Biomedical Applications They Have Inspired.Molecules (Basel, Switzerland) · 2022Review
- Design, manufacture, and testing of customized sterilizable respirator.Journal of the mechanical behavior of biomedical materials · 2022Article
- In situ three-dimensional spider web construction and mechanics.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Analysis of the vibrational and sound spectrum of over 100,000 protein structures and application in sonification.Extreme Mechanics Letters · 2019Article
- Orb-web spiders as Bayesian learners.Die Naturwissenschaften · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spiders are abundantly found in nature and most ecosystems, making up more than 47 000 species. This ecological success is in part due to the exceptional mechanics of the spider web, with its strength, toughness, elasticity and robustness, which originate from its hierarchical structures all the way from sequence design to web architecture. It is a unique example in nature of high-performance material design. In particular, to survive in different environments, spiders have optimized and adapted their web architecture by providing housing, protection, and an efficient tool for catching prey. The most studied web in literature is the two-dimensional (2D) orb web, which is composed of radial and spiral threads. However, only 10% of spider species are orb-web weavers, and three-dimensional (3D) webs, such as funnel, sheet or cobwebs, are much more abundant in nature. The complex spatial network and microscale size of silk fibres are significant challenges towards determining the topology of 3D webs, and only a limited number of previous studies have attempted to quantify their structure and properties. Here, we focus on developing an innovative experimental method to directly capture the complete digital 3D spider web architecture with micron scale resolution. We built an automatic segmentation and scanning platform to obtain high-resolution 2D images of individual cross-sections of the web that were illuminated by a sheet laser. We then developed image processing algorithms to reconstruct the digital 3D fibrous network by analysing the 2D images. This digital network provides a model that contains all of the structural and topological features of the porous regions of a 3D web with high fidelity, and when combined with a mechanical model of silk materials, will allow us to directly simulate and predict the mechanical response of a realistic 3D web under mechanical loads. Our work provides a practical tool to capture the architecture of sophisticated 3D webs, and could lead to studies of the relation between architecture, material and biological functions for numerous 3D spider web applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.