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Research data supporting “Development of structural colour in leaf beetles”


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Authors

Onelli, OD 
van de Kamp, T 
Skepper, JN 
Powell, J 
dos Santos Rolo, T 

Description

Original or unprocessed data is provided in support of the article “Development of structural colour in leaf beetles”. The article was accepted for publication in 2017 in the journal "Scientific Reports". Electronic supporting Information is available from the publisher. The data is structured into eight folders, each correlating to a specific data type presented in the published article. Folder 1: Photographs of the beetles at different stages of life. Folder 2: the data sets used to reconstruct the 3D volumes shown in Figure 2 (Synchrotron microtomography) in the manuscript. Folder 3: the complete set of TEM (Transmission Electron Microscopy) images available. The folder is further subdivided by beetle’s stage of life. Folder 4: optical microscope images before processing. The scale bar is included for reference. Folder 5 is relative to the Figure 5 in the manuscript: it is divided into two folders. The first one contains the Python code used to generate the simulated spectra. This file also includes the input files (i.e. the layer thickness as measured from the TEM sections). The second main folder includes the MATLAB files used to generate Fig.5 (that is, the experimental spectra collected by optical microspectroscopy and the simulated signal). In folder “Supporting”, one can find the two supporting video and the MATLAB code used to generate the supplementary images and the relative input files.

Version

Software / Usage instructions

For the modeling and simulations: Python (version 2 and above). For plotting: MATLAB. For 3D reconstructions, Drishti 2.5 is recommended but other software can be used too.

Keywords

structural colour, Imagining, Development, Leaf beetle, Cuticle

Publisher

Sponsorship
Biotechnology and Biological Sciences Research Council (BB/K014617/1)
Isaac Newton Trust (1423(g))
European Research Council (639088)
This work was supported by the BBSRC David Phillips fellowship [BB/K014617/1], The Isaac Newton Trust Cambridge 76933 and the ERC-2014-STG H2020 639088. Research at KIT was partially funded by the German Federal Ministry of Education and Research by grants 05K10CKB and 05K12CK2.
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