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Computation 2015, 3(2), 222-234; doi:10.3390/computation3020222

Computational Approach to 3D Modeling of the Lymph Node Geometry

1
Lomonosov Moscow State University, Lenenskie Gori 1, Moscow 119991, Russia
2
Institute of Immunobiology, Kantonsspital St. Gallen, St. Gallen 9007, Switzerland
3
Institute of Numerical Mathematics, Russian Academy of Sciences, Gubkina 8, Moscow 119333, Russia
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Filippo Castiglione and Paolo Tieri
Received: 16 January 2015 / Revised: 3 May 2015 / Accepted: 8 May 2015 / Published: 22 May 2015
(This article belongs to the Special Issue Computational Studies of Immune System Function)
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Abstract

In this study we present a computational approach to the generation of the major geometric structures of an idealized murine lymph node (LN). In this generation, we consider the major compartments such as the subcapsular sinus, B cell follicles, trabecular and medullar sinuses, blood vessels and the T cell zone with a primary focus on the fibroblastic reticular cell (FRC) network. Confocal microscopy data of LN macroscopic structures and structural properties of the FRC network have been generated and utilized in the present model. The methodology sets a library of modules that can be used to assemble a solid geometric LN model and subsequently generate an adaptive mesh model capable of implementing transport phenomena. Overall, based on the use of high-resolution confocal microscopy and morphological analysis of cell 3D reconstructions, we have developed a computational model of the LN geometry, suitable for further investigation in studies of fluid transport and cell migration in this immunologically essential organ. View Full-Text
Keywords: lymph node; FRC network; geometric model; computational method lymph node; FRC network; geometric model; computational method
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kislitsyn, A.; Savinkov, R.; Novkovic, M.; Onder, L.; Bocharov, G. Computational Approach to 3D Modeling of the Lymph Node Geometry. Computation 2015, 3, 222-234.

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