Solving the advection-diffusion equations in biological contexts using the cellular Potts model.

IF 2.4 3区 物理与天体物理 Q1 Mathematics Physical review. E Pub Date : 2005-10-01 Epub Date: 2005-10-10 DOI:10.1103/PhysRevE.72.041909
Debasis Dan, Chris Mueller, Kun Chen, James A Glazier
{"title":"Solving the advection-diffusion equations in biological contexts using the cellular Potts model.","authors":"Debasis Dan,&nbsp;Chris Mueller,&nbsp;Kun Chen,&nbsp;James A Glazier","doi":"10.1103/PhysRevE.72.041909","DOIUrl":null,"url":null,"abstract":"<p><p>The cellular Potts model (CPM) is a robust, cell-level methodology for simulation of biological tissues and morphogenesis. Both tissue physiology and morphogenesis depend on diffusion of chemical morphogens in the extra-cellular fluid or matrix (ECM). Standard diffusion solvers applied to the cellular potts model use finite difference methods on the underlying CPM lattice. However, these methods produce a diffusing field tied to the underlying lattice, which is inaccurate in many biological situations in which cell or ECM movement causes advection rapid compared to diffusion. Finite difference schemes suffer numerical instabilities solving the resulting advection-diffusion equations. To circumvent these problems we simulate advection diffusion within the framework of the CPM using off-lattice finite-difference methods. We define a set of generalized fluid particles which detach advection and diffusion from the lattice. Diffusion occurs between neighboring fluid particles by local averaging rules which approximate the Laplacian. Directed spin flips in the CPM handle the advective movement of the fluid particles. A constraint on relative velocities in the fluid explicitly accounts for fluid viscosity. We use the CPM to solve various diffusion examples including multiple instantaneous sources, continuous sources, moving sources, and different boundary geometries and conditions to validate our approximation against analytical and established numerical solutions. We also verify the CPM results for Poiseuille flow and Taylor-Aris dispersion.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"72 4 Pt 1","pages":"041909"},"PeriodicalIF":2.4000,"publicationDate":"2005-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1103/PhysRevE.72.041909","citationCount":"41","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical review. E","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1103/PhysRevE.72.041909","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2005/10/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 41

Abstract

The cellular Potts model (CPM) is a robust, cell-level methodology for simulation of biological tissues and morphogenesis. Both tissue physiology and morphogenesis depend on diffusion of chemical morphogens in the extra-cellular fluid or matrix (ECM). Standard diffusion solvers applied to the cellular potts model use finite difference methods on the underlying CPM lattice. However, these methods produce a diffusing field tied to the underlying lattice, which is inaccurate in many biological situations in which cell or ECM movement causes advection rapid compared to diffusion. Finite difference schemes suffer numerical instabilities solving the resulting advection-diffusion equations. To circumvent these problems we simulate advection diffusion within the framework of the CPM using off-lattice finite-difference methods. We define a set of generalized fluid particles which detach advection and diffusion from the lattice. Diffusion occurs between neighboring fluid particles by local averaging rules which approximate the Laplacian. Directed spin flips in the CPM handle the advective movement of the fluid particles. A constraint on relative velocities in the fluid explicitly accounts for fluid viscosity. We use the CPM to solve various diffusion examples including multiple instantaneous sources, continuous sources, moving sources, and different boundary geometries and conditions to validate our approximation against analytical and established numerical solutions. We also verify the CPM results for Poiseuille flow and Taylor-Aris dispersion.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用细胞波茨模型求解生物环境中的平流扩散方程。
细胞波茨模型(CPM)是一个强大的,细胞水平的方法模拟生物组织和形态发生。组织生理和形态发生都依赖于化学形态因子在细胞外液或基质(ECM)中的扩散。应用于细胞波模型的标准扩散求解器在底层CPM晶格上使用有限差分方法。然而,这些方法产生一个与底层晶格相关联的扩散场,这在许多生物情况下是不准确的,在这些情况下,细胞或ECM运动导致平流比扩散快。有限差分格式在求解平流-扩散方程时存在数值不稳定性。为了避免这些问题,我们使用离格有限差分方法在CPM框架内模拟平流扩散。我们定义了一组将平流和扩散从晶格中分离出来的广义流体粒子。扩散发生在邻近的流体粒子之间,采用近似拉普拉斯的局部平均规则。CPM中的定向自旋翻转处理流体颗粒的平流运动。流体中相对速度的约束明确地说明了流体粘度。我们使用CPM来解决各种扩散示例,包括多个瞬时源,连续源,移动源和不同的边界几何形状和条件,以验证我们的近似解析和建立的数值解。我们还验证了泊泽维尔流和泰勒-阿里斯弥散的CPM结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
期刊最新文献
Controlling the spread of deception-based cyber-threats on time-varying networks. Using swapping layers in molecular dynamics simulations to drive structural equilibration far below T_{g}. Wetting boundary scheme implemented in three-dimensional phase-field lattice Boltzmann model with large density ratios and complex solid boundaries. Collective dynamics of multiplex networks with distinct adaptation rules. Unified linear fluctuation-response theory arbitrarily far from equilibrium.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1