Automated quantification of neurite outgrowth orientation distributions on patterned surfaces

Payne,M, Wang,D, Sinclair,CM, Kapsa,RM, Quigley,AF, Wallace,GG, Razal,JM, Baughman,RH, Münch,G and Vallotton,P 2014, Automated quantification of neurite outgrowth orientation distributions on patterned surfaces, Journal of neural engineering, vol. 11, no. 4, Article Number : 046006, pp. 1-13, doi: 10.1088/1741-2560/11/4/046006.

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Title Automated quantification of neurite outgrowth orientation distributions on patterned surfaces
Author(s) Payne,M
Razal,JMORCID iD for Razal,JM
Journal name Journal of neural engineering
Volume number 11
Issue number 4
Season Article Number : 046006
Start page 1
End page 13
Total pages 13
Publisher IOP Publishing
Place of publication Bristol, Eng.
Publication date 2014-08
ISSN 1741-2552
Keyword(s) image analysis
micro-patterned surfaces
neurite anisotropy
neurite outgrowth
orientation distribution
Science & Technology
Life Sciences & Biomedicine
Engineering, Biomedical
Neurosciences & Neurology
Summary Objective. We have developed an image analysis methodology for quantifying the anisotropy of neuronal projections on patterned substrates. Approach. Our method is based on the fitting of smoothing splines to the digital traces produced using a non-maximum suppression technique. This enables precise estimates of the local tangents uniformly along the neurite length, and leads to unbiased orientation distributions suitable for objectively assessing the anisotropy induced by tailored surfaces. Main results. In our application, we demonstrate that carbon nanotubes arrayed in parallel bundles over gold surfaces induce a considerable neurite anisotropy; a result which is relevant for regenerative medicine. Significance. Our pipeline is generally applicable to the study of fibrous materials on 2D surfaces and should also find applications in the study of DNA, microtubules, and other polymeric materials.
Language eng
DOI 10.1088/1741-2560/11/4/046006
Field of Research 060103 Cell Development, Proliferation and Death
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, IOP Publishing
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