ArticleNature communications2018
Self-organization of active particles by quorum sensing rules.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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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
36 citing papers in PubMed.
- Photoactive Tweezers.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Self-organized criticality in aquatic robot swarm.Science advances · 2026Article
- Building with Light: Photoactive Colloids as the Next Generation Meta-Atoms.Nano letters · 2026Review
- Hamiltonian description of non-reciprocal interactions.Nature physics · 2026Article
- Regulation of drug resistance to enrofloxacin inFrontiers in microbiology · 2026Article
- Tunable colloidal swarmalators with hydrodynamic coupling.Nature communications · 2025Article
- Article
- Anomalous Dynamics of Superparamagnetic Colloidal Microrobots with Tailored Statistics.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Regulation of ofloxacin resistance inFrontiers in veterinary science · 2025Article
- Controlling noise with self-organized resetting.Communications physics · 2025Article
- Long-Distance Autonomous Navigation of Optical Microrobotic Swarms in Complex Environments.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2024Article
- Quorum Sensing in Emulsion Droplet Swarms Driven by a Surfactant Competition System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Persistent and responsive collective motion with adaptive time delay.Science advances · 2024Article
- Synchronous and Fully Steerable Active Particle Systems for Enhanced Mimicking of Collective Motion in Nature.Advanced materials (Deerfield Beach, Fla.) · 2024Article
- The impact of quorum sensing and biofilm formation on antimicrobial resistance and virulence of XDR and MDRIranian journal of veterinary research · 2024Article
- Janus particles with tunable patch symmetry and their assembly into chiral colloidal clusters.Nature communications · 2023Article
- Non-reciprocity across scales in active mixtures.Nature communications · 2023Article
- Collective foraging of active particles trained by reinforcement learning.Scientific reports · 2023Article
- Capture and transport of rod-shaped cargo via programmable active particles.Scientific reports · 2023Article
- Evaluation of anti-quorum sensing and antibiofilm effects of secondary metabolites from Gambeya lacourtiana (De Wild) Aubr. & Pellegr against selected pathogens.BMC complementary medicine and therapies · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Many microorganisms regulate their behaviour according to the density of neighbours. Such quorum sensing is important for the communication and organisation within bacterial populations. In contrast to living systems, where quorum sensing is determined by biochemical processes, the behaviour of synthetic active particles can be controlled by external fields. Accordingly they allow to investigate how variations of a density-dependent particle response affect their self-organisation. Here we experimentally and numerically demonstrate this concept using a suspension of light-activated active particles whose motility is individually controlled by an external feedback-loop, realised by a particle detection algorithm and a scanning laser system. Depending on how the particles' motility varies with the density of neighbours, the system self-organises into aggregates with different size, density and shape. Since the individual particles' response to their environment is almost freely programmable, this allows for detailed insights on how communication between motile particles affects their collective properties.
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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.