Modeling analysis of microenvironment of 3D cell mechanics based on machine vision

Aiming at the problem of poor construction accuracy of the cellular three-dimensional (3D) mechanical microenvironment, this article studies the cellular 3D mechanical microenvironment based on machine vision. The gelatin methacrylate microgel column was prepared by NIH/3T3 mouse fibroblast and prec...

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Main Authors: Zhang Yuejin, Ye Mengqiu, Wang Juan, Li Guanghui, Zhong Meiling, Zhan Aiyun
Format: Article
Language:English
Published: De Gruyter 2022-02-01
Series:Open Physics
Subjects:
Online Access:https://doi.org/10.1515/phys-2022-0013
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author Zhang Yuejin
Ye Mengqiu
Wang Juan
Li Guanghui
Zhong Meiling
Zhan Aiyun
author_facet Zhang Yuejin
Ye Mengqiu
Wang Juan
Li Guanghui
Zhong Meiling
Zhan Aiyun
author_sort Zhang Yuejin
collection DOAJ
description Aiming at the problem of poor construction accuracy of the cellular three-dimensional (3D) mechanical microenvironment, this article studies the cellular 3D mechanical microenvironment based on machine vision. The gelatin methacrylate microgel column was prepared by NIH/3T3 mouse fibroblast and precursor solution of gelatin methacrylate microgel. The gelatin methacrylate microgel array with magnetic end was adopted. The external magnetic field was used to load microgel array and build 3D mechanics microenvironment model. The deformed pictures of hydrogel under magnetic field were obtained by fluorescence microscope. The scanning electron microscope was used to characterize the pore structure of gelatin methacrylate hydrogel. The pictures obtained by machine vision method were used to calculate the deformed parameters of sample. The machine vision method adopted the discrete cosine transform for autofocus, and then used the image analysis and processing technology to identify and estimate the cell motion parameters. After getting the cell motion parameters, Comsol multiphysics (COMSOL) multiphysics multifield coupling finite element analysis software was adopted. The correlative numerical simulation method and gel deformed simulation method were used to obtain the mechanical changes of cells in the 3D mechanical microenvironment. Experimental results show that the modulus of gelatin methacrylate microgel is changed significantly during the tensile loading. The tensile strain and the cell spreading area are nonlinearly related. The increase in stiffness of the hydrogel substrate helps to promote cell proliferation to a certain extent.
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spelling doaj.art-e34ff94909834610ab2576da4e8bd4f32022-12-22T04:28:53ZengDe GruyterOpen Physics2391-54712022-02-0120111712910.1515/phys-2022-0013Modeling analysis of microenvironment of 3D cell mechanics based on machine visionZhang Yuejin0Ye Mengqiu1Wang Juan2Li Guanghui3Zhong Meiling4Zhan Aiyun5Department of Electronic and Communication Engineering, East China Jiaotong University, Nanchang 330013, ChinaDepartment of Electronic and Communication Engineering, East China Jiaotong University, Nanchang 330013, ChinaDepartment of Electronic and Communication Engineering, East China Jiaotong University, Nanchang 330013, ChinaIoT Engineering Department, East China Jiaotong University, Nanchang 330013, ChinaDepartment of Polymer Materials and Engineering, East China Jiaotong University, Nanchang 330013, ChinaDepartment of Electronic Information, East China Jiaotong University, Nanchang 330013, ChinaAiming at the problem of poor construction accuracy of the cellular three-dimensional (3D) mechanical microenvironment, this article studies the cellular 3D mechanical microenvironment based on machine vision. The gelatin methacrylate microgel column was prepared by NIH/3T3 mouse fibroblast and precursor solution of gelatin methacrylate microgel. The gelatin methacrylate microgel array with magnetic end was adopted. The external magnetic field was used to load microgel array and build 3D mechanics microenvironment model. The deformed pictures of hydrogel under magnetic field were obtained by fluorescence microscope. The scanning electron microscope was used to characterize the pore structure of gelatin methacrylate hydrogel. The pictures obtained by machine vision method were used to calculate the deformed parameters of sample. The machine vision method adopted the discrete cosine transform for autofocus, and then used the image analysis and processing technology to identify and estimate the cell motion parameters. After getting the cell motion parameters, Comsol multiphysics (COMSOL) multiphysics multifield coupling finite element analysis software was adopted. The correlative numerical simulation method and gel deformed simulation method were used to obtain the mechanical changes of cells in the 3D mechanical microenvironment. Experimental results show that the modulus of gelatin methacrylate microgel is changed significantly during the tensile loading. The tensile strain and the cell spreading area are nonlinearly related. The increase in stiffness of the hydrogel substrate helps to promote cell proliferation to a certain extent.https://doi.org/10.1515/phys-2022-0013machine visioncellthree-dimensional mechanicsmicroenvironmentmodeling analysis
spellingShingle Zhang Yuejin
Ye Mengqiu
Wang Juan
Li Guanghui
Zhong Meiling
Zhan Aiyun
Modeling analysis of microenvironment of 3D cell mechanics based on machine vision
Open Physics
machine vision
cell
three-dimensional mechanics
microenvironment
modeling analysis
title Modeling analysis of microenvironment of 3D cell mechanics based on machine vision
title_full Modeling analysis of microenvironment of 3D cell mechanics based on machine vision
title_fullStr Modeling analysis of microenvironment of 3D cell mechanics based on machine vision
title_full_unstemmed Modeling analysis of microenvironment of 3D cell mechanics based on machine vision
title_short Modeling analysis of microenvironment of 3D cell mechanics based on machine vision
title_sort modeling analysis of microenvironment of 3d cell mechanics based on machine vision
topic machine vision
cell
three-dimensional mechanics
microenvironment
modeling analysis
url https://doi.org/10.1515/phys-2022-0013
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AT wangjuan modelinganalysisofmicroenvironmentof3dcellmechanicsbasedonmachinevision
AT liguanghui modelinganalysisofmicroenvironmentof3dcellmechanicsbasedonmachinevision
AT zhongmeiling modelinganalysisofmicroenvironmentof3dcellmechanicsbasedonmachinevision
AT zhanaiyun modelinganalysisofmicroenvironmentof3dcellmechanicsbasedonmachinevision