• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Spatial scaling in multiscale models: methods for coupling agent-based and finite-element models of wound healing.多尺度模型中的空间尺度:结合基于Agent 的和有限元模型方法进行伤口愈合模拟。
Biomech Model Mechanobiol. 2019 Oct;18(5):1297-1309. doi: 10.1007/s10237-019-01145-1. Epub 2019 Apr 9.
2
Coupled agent-based and finite-element models for predicting scar structure following myocardial infarction.基于主体和有限元耦合模型预测心肌梗死后瘢痕结构
Prog Biophys Mol Biol. 2014 Aug;115(2-3):235-43. doi: 10.1016/j.pbiomolbio.2014.06.010. Epub 2014 Jul 8.
3
Tissue Engineering: A Coupled Agent-Based Finite Element Approach.组织工程学:基于耦合代理的有限元方法。
Tissue Eng Part C Methods. 2019 Nov;25(11):641-654. doi: 10.1089/ten.TEC.2019.0103. Epub 2019 Sep 20.
4
Neural Network Approaches for Soft Biological Tissue and Organ Simulations.神经网络方法在软生物组织和器官模拟中的应用。
J Biomech Eng. 2022 Dec 1;144(12). doi: 10.1115/1.4055835.
5
Multiscale mechanobiology: Coupling models of adhesion kinetics and nonlinear tissue mechanics.多尺度力学生物学:黏附动力学和非线性组织力学的耦合模型。
Biophys J. 2022 Feb 15;121(4):525-539. doi: 10.1016/j.bpj.2022.01.012. Epub 2022 Jan 21.
6
Bone remodeling analysis for a swine skull at continuous scale based on the smoothed finite element method.基于平滑有限元法的猪颅骨连续尺度的骨重建分析。
J Mech Behav Biomed Mater. 2021 Jun;118:104444. doi: 10.1016/j.jmbbm.2021.104444. Epub 2021 Mar 11.
7
Smoothed finite element methods in simulation of active contraction of myocardial tissue samples.平滑有限元方法在心肌组织样本主动收缩模拟中的应用。
J Biomech. 2023 Aug;157:111691. doi: 10.1016/j.jbiomech.2023.111691. Epub 2023 Jun 24.
8
Mechanobiological model of arterial growth and remodeling.动脉生长和重塑的生物力学模型。
Biomech Model Mechanobiol. 2018 Feb;17(1):87-101. doi: 10.1007/s10237-017-0946-y. Epub 2017 Aug 19.
9
Soft tissue deformation estimation by spatio-temporal Kalman filter finite element method.基于时空卡尔曼滤波器有限元法的软组织变形估计
Technol Health Care. 2018;26(S1):317-325. doi: 10.3233/THC-174640.
10
Mesh adaptation for improving elasticity reconstruction using the FEM inverse problem.使用有限元反问题进行网格自适应以改进弹性重建。
IEEE Trans Med Imaging. 2013 Feb;32(2):408-18. doi: 10.1109/TMI.2012.2228664. Epub 2012 Nov 21.

引用本文的文献

1
On modeling the multiscale mechanobiology of soft tissues: Challenges and progress.关于软组织多尺度力学生物学建模:挑战与进展
Biophys Rev (Melville). 2022 Aug 15;3(3):031303. doi: 10.1063/5.0085025. eCollection 2022 Sep.
2
A computational modeling approach for predicting multicell spheroid patterns based on signaling-induced differential adhesion.基于信号诱导的差异黏附预测多细胞球体模式的计算建模方法。
PLoS Comput Biol. 2022 Nov 28;18(11):e1010701. doi: 10.1371/journal.pcbi.1010701. eCollection 2022 Nov.
3
Comparative Computational Modeling of the Bat and Human Immune Response to Viral Infection with the Comparative Biology Immune Agent Based Model.基于比较生物学免疫因子模型的蝙蝠和人类对病毒感染免疫反应的比较计算建模
Viruses. 2021 Aug 16;13(8):1620. doi: 10.3390/v13081620.
4
Agent-based model provides insight into the mechanisms behind failed regeneration following volumetric muscle loss injury.基于代理的模型为理解容积性肌肉损失损伤后再生失败的机制提供了深入了解。
PLoS Comput Biol. 2021 May 10;17(5):e1008937. doi: 10.1371/journal.pcbi.1008937. eCollection 2021 May.
5
Multi-scale models of lung fibrosis.肺纤维化的多尺度模型。
Matrix Biol. 2020 Sep;91-92:35-50. doi: 10.1016/j.matbio.2020.04.003. Epub 2020 May 11.
6
A hybrid model of intercellular tension and cell-matrix mechanical interactions in a multicellular geometry.一种多细胞几何形状中细胞间张力和细胞-基质力学相互作用的混合模型。
Biomech Model Mechanobiol. 2020 Dec;19(6):1997-2013. doi: 10.1007/s10237-020-01321-8. Epub 2020 Mar 20.
7
Multiscale Coupling of an Agent-Based Model of Tissue Fibrosis and a Logic-Based Model of Intracellular Signaling.基于主体的组织纤维化模型与基于逻辑的细胞内信号传导模型的多尺度耦合
Front Physiol. 2019 Dec 17;10:1481. doi: 10.3389/fphys.2019.01481. eCollection 2019.

本文引用的文献

1
A nonlinear anisotropic inverse method for computational dissection of inhomogeneous planar tissues.一种用于非均匀平面组织计算解剖的非线性各向异性逆方法。
Comput Methods Biomech Biomed Engin. 2016 Nov;19(15):1630-46. doi: 10.1080/10255842.2016.1176154. Epub 2016 May 2.
2
Multiscale models of skeletal muscle reveal the complex effects of muscular dystrophy on tissue mechanics and damage susceptibility.骨骼肌的多尺度模型揭示了肌肉萎缩对组织力学和损伤易感性的复杂影响。
Interface Focus. 2015 Apr 6;5(2):20140080. doi: 10.1098/rsfs.2014.0080.
3
Coupled agent-based and finite-element models for predicting scar structure following myocardial infarction.基于主体和有限元耦合模型预测心肌梗死后瘢痕结构
Prog Biophys Mol Biol. 2014 Aug;115(2-3):235-43. doi: 10.1016/j.pbiomolbio.2014.06.010. Epub 2014 Jul 8.
4
Models of collective cell behaviour with crowding effects: comparing lattice-based and lattice-free approaches.具有拥挤效应的群体细胞行为模型:基于格子和无格子方法的比较。
J R Soc Interface. 2012 Nov 7;9(76):2983-96. doi: 10.1098/rsif.2012.0319. Epub 2012 Jun 13.
5
Mechanical regulation of fibroblast migration and collagen remodelling in healing myocardial infarcts.机械调节在愈合性心肌梗死中纤维母细胞迁移和胶原重塑中的作用。
J Physiol. 2012 Sep 15;590(18):4585-602. doi: 10.1113/jphysiol.2012.229484. Epub 2012 Apr 10.
6
FEBio: finite elements for biomechanics.FEBio:生物力学有限元
J Biomech Eng. 2012 Jan;134(1):011005. doi: 10.1115/1.4005694.
7
A multiscale mechanobiological modelling framework using agent-based models and finite element analysis: application to vascular tissue engineering.使用基于代理的模型和有限元分析的多尺度机械生物力学建模框架:在血管组织工程中的应用。
Biomech Model Mechanobiol. 2012 Mar;11(3-4):363-77. doi: 10.1007/s10237-011-0316-0. Epub 2011 May 31.
8
Biased three-dimensional cell migration and collagen matrix modification.偏向性三维细胞迁移和胶原基质修饰。
Math Biosci. 2011 Jun;231(2):105-19. doi: 10.1016/j.mbs.2011.02.007. Epub 2011 Feb 24.
9
Speckle patterning of soft tissues for strain field measurement using digital image correlation: preliminary quality assessment of patterns.基于数字图像相关技术的软组织散斑图案用于应变场测量:图案的初步质量评估。
Microsc Microanal. 2011 Feb;17(1):81-90. doi: 10.1017/S1431927610094377. Epub 2010 Dec 23.
10
Evolution of scar structure, mechanics, and ventricular function after myocardial infarction in the rat.心肌梗死后大鼠瘢痕结构、力学和心室功能的演变。
Am J Physiol Heart Circ Physiol. 2010 Jan;298(1):H221-8. doi: 10.1152/ajpheart.00495.2009. Epub 2009 Nov 6.

多尺度模型中的空间尺度:结合基于Agent 的和有限元模型方法进行伤口愈合模拟。

Spatial scaling in multiscale models: methods for coupling agent-based and finite-element models of wound healing.

机构信息

Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.

Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA.

出版信息

Biomech Model Mechanobiol. 2019 Oct;18(5):1297-1309. doi: 10.1007/s10237-019-01145-1. Epub 2019 Apr 9.

DOI:10.1007/s10237-019-01145-1
PMID:30968216
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8427702/
Abstract

Multiscale models that couple agent-based modeling (ABM) and finite-element modeling (FEM) allow the dynamic simulation of tissue remodeling and wound healing, with mechanical environment influencing cellular behaviors even as tissue remodeling modifies mechanics. One of the challenges in coupling ABM to FEM is that these two domains typically employ grid or element sizes that differ by several orders of magnitude. Here, we develop and demonstrate an interpolation-based method for mapping between ABM and FEM domains of different resolutions that is suitable for linear and nonlinear FEM meshes and balances accuracy with computational demands. We then explore the effects of refining the FEM mesh and the ABM grid in the setting of a fully coupled model. ABM grid refinement studies showed unexpected effects of grid size whenever cells were present at a high enough density for crowding to affect proliferation and migration. In contrast to an FE-only model, refining the FE mesh in the coupled model increased strain differences between adjacent finite elements. Allowing strain-dependent feedback on collagen turnover magnified the effects of regional heterogeneity, producing highly nonlinear spatial and temporal responses. Our results suggest that the choice of both ABM grid and FEM mesh density in coupled models must be guided by experimental data and accompanied by careful grid and mesh refinement studies in the individual domains as well as the fully coupled model.

摘要

多尺度模型将基于主体的建模(ABM)和有限元建模(FEM)耦合,允许对组织重塑和伤口愈合进行动态模拟,即使组织重塑改变力学特性,机械环境也会影响细胞行为。将 ABM 与 FEM 耦合的挑战之一在于,这两个领域通常采用网格或元素大小相差几个数量级。在这里,我们开发并展示了一种基于插值的方法,用于在不同分辨率的 ABM 和 FEM 域之间进行映射,该方法适用于线性和非线性 FEM 网格,并在准确性和计算需求之间取得平衡。然后,我们在完全耦合模型中探讨了细化 FEM 网格和 ABM 网格的效果。ABM 网格细化研究表明,只要细胞的密度足够高,以至于拥挤会影响增殖和迁移,那么网格大小就会产生意想不到的影响。与仅使用 FE 的模型相比,在耦合模型中细化 FE 网格会增加相邻有限元之间的应变差异。允许对胶原转化的应变依赖性反馈放大了区域异质性的影响,产生了高度非线性的时空响应。我们的结果表明,在耦合模型中,ABM 网格和 FEM 网格密度的选择都必须由实验数据来指导,并伴随着在单独的域以及完全耦合模型中进行仔细的网格和网格细化研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/f34acaffe2c2/nihms-1710377-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/16666e2964db/nihms-1710377-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/6dc1aee25d70/nihms-1710377-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/918bebcf4803/nihms-1710377-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/244db4ca2d81/nihms-1710377-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/b10caf221117/nihms-1710377-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/ea26908e980a/nihms-1710377-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/31372732be34/nihms-1710377-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/f34acaffe2c2/nihms-1710377-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/16666e2964db/nihms-1710377-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/6dc1aee25d70/nihms-1710377-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/918bebcf4803/nihms-1710377-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/244db4ca2d81/nihms-1710377-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/b10caf221117/nihms-1710377-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/ea26908e980a/nihms-1710377-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/31372732be34/nihms-1710377-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1833/8427702/f34acaffe2c2/nihms-1710377-f0008.jpg