Research data supporting "Complex photonic response reveals 3D self-organization of structural colored bacterial colonies"
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Authors
van de Kerkof, Gea
Jacucci, Gianni
Catón, Laura
Ogawa, Yu
Description
This data supports the manuscript "Complex photonic response reveals 3D self-organization of structural colored bacterial colonies" and consists of goniometer data and analysis (python), transfer matrix simulation code (python), Finite element method code (python), and the MIT photonic band analysis code as referred to in the manuscript. Further SEM data and analysis are contained in the file. The data is sorted by the Figures it appears in the manuscript. See "readme" for details.
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Software / Usage instructions
*.py files are executed using Python 3.7.x with numpy/matplotlib (pylab)/scipy installed. It has been tested under Microsoft 10. The raw goniometer data(*.mat) is in HDF5 format and saved from matlab (mathworks.com), but the actual post processing is in our case done in Python.
Keywords
Bacterial colonies, Structural color, Photonic crystals, Living optical material
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Sponsorship
This study was financially supported by BBSRC David Phillips Fellowship (BB/K014617/1), the European Research Council (ERC-2014-STG H2020 639088), the European Commission (Marie Curie Fellowship LODIS, 701455), EU’sHorizon 2020 research and innovation program under the Marie Skodowska-Curie grant agreement No. 722842 (ITN Plant-inspired Materials and Surfaces–PlaMatSu) and the Swiss National Science Foundation under project P2ZHP2_183998 and Ambizione programme grant 168223.