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Quanfima: An open source Python package for automated fiber analysis of biomaterials

Shkarin, Roman; Shkarin, Andrei; Shkarina, Svetlana; Cecilia, Angelica; Surmenev, Roman A.; Surmeneva, Maria A.; Weinhardt, Venera; Baumbach, Tilo; Mikut, Ralf

Abstract:
Hybrid 3D scaffolds composed of different biomaterials with fibrous structure or enriched with different inclusions (i.e., nano- and microparticles) have already demonstrated their positive effect on cell integration and regeneration. The analysis of fibers in hybrid biomaterials, especially in a 3D space is often difficult due to their various diameters (from micro to nanoscale) and compositions. Though biomaterials processing workflows are implemented, there are no software tools for fiber analysis that can be easily integrated into such workflows. Due to the demand for reproducible science with Jupyter notebooks and the broad use of the Python programming language, we have developed the new Python package quanfima offering a complete analysis of hybrid biomaterials, that include the determination of fiber orientation, fiber and/or particle diameter and porosity. Here, we evaluate the provided tensor-based approach on a range of generated datasets under various noise conditions. Also, we show its application to the X-ray tomography datasets of polycaprolactone fibrous scaffolds pure and containing silicate-substituted hydroxyapati ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000093999
Veröffentlicht am 26.04.2019
Coverbild
Zugehörige Institution(en) am KIT Laboratorium für Applikationen der Synchrotronstrahlung (LAS)
Institut für Photonenforschung und Synchrotronstrahlung (IPS)
Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 1932-6203
KITopen-ID: 1000093999
HGF-Programm 56.03.30 (POF III, LK 01)
Erschienen in PLOS ONE
Band 14
Heft 4
Seiten e0215137
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 11.04.2019
Nachgewiesen in Scopus
Web of Science
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