activity
20122015
most citedLBIBCell: A Cell-Based Simulation Environment for Morphogenetic Problems

63 citations · 91 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.QM2015

Technical Report: Modelling Multiple Cell Types with Partial Differential Equations

Simon Tanaka

Partial differential equations are a convenient way to describe reaction- advection-diffusion processes of signalling models. If only one cell type is present, and tissue dynamics…

q-bio.QM2015★ 63 cited

LBIBCell: A Cell-Based Simulation Environment for Morphogenetic Problems

Simon Tanaka, David Sichau, Dagmar Iber

The simulation of morphogenetic problems requires the simultaneous and coupled simulation of signalling and tissue dynamics. A cellular resolution of the tissue domain is important…

q-bio.TO2013★ 15 cited

Inter-dependent Tissue Growth and Turing Patterning in a Model for Long Bone Development

Simon Tanaka, Dagmar Iber

The development of long bones requires a sophisticated spatial organization of cellular signaling, proliferation, and differentiation programs. How such spatial organization emerge…

physics.flu-dyn2013★ 1 cited

Simulation of a Microfluidic Gradient Generator using Lattice Boltzmann Methods

Simon Tanaka, Dagmar Iber

Microfluidics provides a powerful and versatile technology to accurately control spatial and temporal conditions for cell culturing and can therefore be used to study cellular resp…

q-bio.TO2013

Simulating Tissue Morphogenesis and Signaling

Dagmar Iber, Simon Tanaka, Patrick Fried +2

During embryonic development tissue morphogenesis and signaling are tightly coupled. It is therefore important to simulate both tissue morphogenesis and signaling simultaneously in…

q-bio.TO2012★ 12 cited

Simulating Organogenesis in COMSOL

Philipp Germann, Dzianis Menshykau, Simon Tanaka +1

Organogenesis is a tightly regulated process that has been studied experimentally for decades. Computational models can help to integrate available knowledge and to better understa…