Estimating the 3D pore size distribution of biopolymer networks from directionally biased data.

Journal article
(Original article)


Publication Details

Author(s): Lang N, Münster S, Metzner C, Krauß P, Schürmann S, Lange J, Aifantis KE, Friedrich O, Fabry B
Journal: Biophysical journal
Publication year: 2013
Volume: 105
Journal issue: 9
Pages range: 1967-75
ISSN: 1542-0086
Language: English


Abstract


The pore size of biopolymer networks governs their mechanical properties and strongly impacts the behavior of embedded cells. Confocal reflection microscopy and second harmonic generation microscopy are widely used to image biopolymer networks; however, both techniques fail to resolve vertically oriented fibers. Here, we describe how such directionally biased data can be used to estimate the network pore size. We first determine the distribution of distances from random points in the fluid phase to the nearest fiber. This distribution follows a Rayleigh distribution, regardless of isotropy and data bias, and is fully described by a single parameter--the characteristic pore size of the network. The bias of the pore size estimate due to the missing fibers can be corrected by multiplication with the square root of the visible network fraction. We experimentally verify the validity of this approach by comparing our estimates with data obtained using confocal fluorescence microscopy, which represents the full structure of the network. As an important application, we investigate the pore size dependence of collagen and fibrin networks on protein concentration. We find that the pore size decreases with the square root of the concentration, consistent with a total fiber length that scales linearly with concentration.



FAU Authors / FAU Editors

Fabry, Ben Prof. Dr.
Lehrstuhl für Biophysik
Friedrich, Oliver Prof. Dr. Dr.
Lehrstuhl für Medizinische Biotechnologie
Lang, Nadine
Lehrstuhl für Biophysik
Lange, Janina
Lehrstuhl für Biophysik
Metzner, Claus PD Dr.
Lehrstuhl für Biophysik
Münster, Stefan
Lehrstuhl für Biophysik
Schürmann, Sebastian Dr. rer. nat.
Lehrstuhl für Medizinische Biotechnologie


External institutions
Aristotle University of Thessaloniki


How to cite

APA:
Lang, N., Münster, S., Metzner, C., Krauß, P., Schürmann, S., Lange, J.,... Fabry, B. (2013). Estimating the 3D pore size distribution of biopolymer networks from directionally biased data. Biophysical journal, 105(9), 1967-75. https://dx.doi.org/10.1016/j.bpj.2013.09.038

MLA:
Lang, Nadine, et al. "Estimating the 3D pore size distribution of biopolymer networks from directionally biased data." Biophysical journal 105.9 (2013): 1967-75.

BibTeX: 

Last updated on 2018-25-09 at 06:10