Magnetic Nanoparticles-Loaded Physarum polycephalum: Directed Growth and Particles Distribution
| Autor: | Tullo Besagni, Tatiana Berzina, Patrizia Ferro, Franca Albertini, Alice Dimonte, Angelica Cifarelli, Victor Erokhin, Andrew Adamatzky, V. Chiesi |
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| Rok vydání: | 2015 |
| Předmět: |
Analog control
Materials science biology Physarum Magnetic particles Network Health Informatics Physarum polycephalum Nanotechnology Substrate (printing) biology.organism_classification General Biochemistry Genetics and Molecular Biology Computer Science Applications Slime mold Computational Science and Engineering Magnetic nanoparticles Magnetite Nanoparticles Unconventional computing |
| Zdroj: | Interdisciplinary Sciences: Computational Life Sciences 7 (2015): 373–381. doi:10.1007/s12539-015-0021-2 info:cnr-pdr/source/autori:Dimonte, Alice; Cifarelli, Angelica; Berzina, Tatiana; Chiesi, Valentina; Ferro, Patrizia; Besagni, Tullo; Albertini, Franca; Adamatzky, Andrew; Erokhin, Victor/titolo:Magnetic Nanoparticles-Loaded Physarum polycephalum: Directed Growth and Particles Distribution/doi:10.1007%2Fs12539-015-0021-2/rivista:Interdisciplinary Sciences: Computational Life Sciences/anno:2015/pagina_da:373/pagina_a:381/intervallo_pagine:373–381/volume:7 |
| ISSN: | 1867-1462 1913-2751 |
| DOI: | 10.1007/s12539-015-0021-2 |
| Popis: | Slime mold Physarum polycephalum is a single cell visible by an unaided eye. The slime mold optimizes its network of protoplasmic tubes to minimize expose to repellents and maximize expose to attractants and to make efficient transportation of nutrients. These properties of P. polycephalum, together with simplicity of its handling and culturing, make it a priceless substrate for designing novel sensing, computing and actuating architectures in living amorphous biological substrate. We demonstrate that, by loading Physarum with magnetic particles and positioning it in a magnetic field, we can, in principle, impose analog control procedures to precisely route active growing zones of slime mold and shape topology of its protoplasmic networks. |
| Databáze: | OpenAIRE |
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