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Automated analysis of Physarum network structure and dynamics

Abstract:

We evaluate different ridge-enhancement and segmentation methods to automatically extract the network architecture from time-series of Physarum plasmodia withdrawing from an arena via a single exit. Whilst all methods gave reasonable results, judged by precision-recall analysis against a ground-truth skeleton, the mean phase angle (Feature Type) from intensity-independent, phase-congruency edge enhancement and watershed segmentation was the most robust to variation in threshold parameters. Th...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1088/1361-6463/aa72b9

Authors


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Institution:
University of Oxford
Oxford college:
Pembroke College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Plant Sciences
Role:
Author
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Funding agency for:
Fricker, MD
Grant:
RPG-2015-437
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Funding agency for:
Fricker, MD
Grant:
RPG-2015-437
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Funding agency for:
Fricker, MD
Grant:
RPG-2015-437
Publisher:
IOP Publishing Publisher's website
Journal:
Journal of Physics D: Applied Physics Journal website
Volume:
50
Issue:
25
Article number:
254005
Publication date:
2017-06-06
Acceptance date:
2017-05-12
DOI:
EISSN:
1361-6463
ISSN:
0022-3727
Source identifiers:
702161
Keywords:
Pubs id:
pubs:702161
UUID:
uuid:0917757a-7f0f-4f34-ade7-fe27aa614eb2
Local pid:
pubs:702161
Deposit date:
2017-06-29

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