A fractional stochastic theory for interfacial polarization of cell aggregates
We present a theoretical framework to model the electric response of cell aggregates. We establish a coarse representation for each cell as a combination of membrane and cytoplasm dipole moments. Then we compute the effective conductivity of the resulting system, and thereafter derive a Fokker-Planc...
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creator | Mistani, Pouria A Pakravan, Samira Gibou, Frederic G |
description | We present a theoretical framework to model the electric response of cell aggregates. We establish a coarse representation for each cell as a combination of membrane and cytoplasm dipole moments. Then we compute the effective conductivity of the resulting system, and thereafter derive a Fokker-Planck partial differential equation that captures the time-dependent evolution of the distribution of induced cellular polarizations in an ensemble of cells. Our model predicts that the polarization density parallel to an applied pulse follows a skewed t-distribution, while the transverse polarization density follows a symmetric t-distribution, which are in accordance with our direct numerical simulations. Furthermore, we report a reduced order model described by a coupled pair of ordinary differential equations that reproduces the average and the variance of induced dipole moments in the aggregate. We extend our proposed formulation by considering fractional order time derivatives that we find necessary to explain anomalous relaxation phenomena observed in experiments as well as our direct numerical simulations. Owing to its time-domain formulation, our framework can be easily used to consider nonlinear membrane effects or intercellular couplings that arise in several scientific, medical and technological applications. |
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We establish a coarse representation for each cell as a combination of membrane and cytoplasm dipole moments. Then we compute the effective conductivity of the resulting system, and thereafter derive a Fokker-Planck partial differential equation that captures the time-dependent evolution of the distribution of induced cellular polarizations in an ensemble of cells. Our model predicts that the polarization density parallel to an applied pulse follows a skewed t-distribution, while the transverse polarization density follows a symmetric t-distribution, which are in accordance with our direct numerical simulations. Furthermore, we report a reduced order model described by a coupled pair of ordinary differential equations that reproduces the average and the variance of induced dipole moments in the aggregate. We extend our proposed formulation by considering fractional order time derivatives that we find necessary to explain anomalous relaxation phenomena observed in experiments as well as our direct numerical simulations. Owing to its time-domain formulation, our framework can be easily used to consider nonlinear membrane effects or intercellular couplings that arise in several scientific, medical and technological applications.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Aggregates ; Computer simulation ; Couplings ; Cytoplasm ; Density ; Dipole moments ; Mathematical models ; Membranes ; Ordinary differential equations ; Partial differential equations ; Polarization ; Probability distribution ; Reduced order models ; Skewed distributions ; Time dependence</subject><ispartof>arXiv.org, 2020-08</ispartof><rights>2020. 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Then we compute the effective conductivity of the resulting system, and thereafter derive a Fokker-Planck partial differential equation that captures the time-dependent evolution of the distribution of induced cellular polarizations in an ensemble of cells. Our model predicts that the polarization density parallel to an applied pulse follows a skewed t-distribution, while the transverse polarization density follows a symmetric t-distribution, which are in accordance with our direct numerical simulations. Furthermore, we report a reduced order model described by a coupled pair of ordinary differential equations that reproduces the average and the variance of induced dipole moments in the aggregate. We extend our proposed formulation by considering fractional order time derivatives that we find necessary to explain anomalous relaxation phenomena observed in experiments as well as our direct numerical simulations. Owing to its time-domain formulation, our framework can be easily used to consider nonlinear membrane effects or intercellular couplings that arise in several scientific, medical and technological applications.</description><subject>Aggregates</subject><subject>Computer simulation</subject><subject>Couplings</subject><subject>Cytoplasm</subject><subject>Density</subject><subject>Dipole moments</subject><subject>Mathematical models</subject><subject>Membranes</subject><subject>Ordinary differential equations</subject><subject>Partial differential equations</subject><subject>Polarization</subject><subject>Probability distribution</subject><subject>Reduced order models</subject><subject>Skewed distributions</subject><subject>Time dependence</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNjbEKwjAUAIMgWLT_8MC50Cap7SqiODm5yyMkbUroq3npoF9vBT_A6ZY7biUyqVRVtFrKjciZh7Is5aGRda0ycTuCi2iSpxEDcCLTIydvIPWW4gscRfBjstGh8YsxUcDo3_gNgBwYGwJg10XbYbK8E2uHgW3-41bsL-f76VpMkZ6z5fQYaI7Lih9Sq7ZSuqm1-s_6AC_OPu0</recordid><startdate>20200825</startdate><enddate>20200825</enddate><creator>Mistani, Pouria A</creator><creator>Pakravan, Samira</creator><creator>Gibou, Frederic G</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20200825</creationdate><title>A fractional stochastic theory for interfacial polarization of cell aggregates</title><author>Mistani, Pouria A ; Pakravan, Samira ; Gibou, Frederic G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_24381347543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aggregates</topic><topic>Computer simulation</topic><topic>Couplings</topic><topic>Cytoplasm</topic><topic>Density</topic><topic>Dipole moments</topic><topic>Mathematical models</topic><topic>Membranes</topic><topic>Ordinary differential equations</topic><topic>Partial differential equations</topic><topic>Polarization</topic><topic>Probability distribution</topic><topic>Reduced order models</topic><topic>Skewed distributions</topic><topic>Time dependence</topic><toplevel>online_resources</toplevel><creatorcontrib>Mistani, Pouria A</creatorcontrib><creatorcontrib>Pakravan, Samira</creatorcontrib><creatorcontrib>Gibou, Frederic G</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mistani, Pouria A</au><au>Pakravan, Samira</au><au>Gibou, Frederic G</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>A fractional stochastic theory for interfacial polarization of cell aggregates</atitle><jtitle>arXiv.org</jtitle><date>2020-08-25</date><risdate>2020</risdate><eissn>2331-8422</eissn><abstract>We present a theoretical framework to model the electric response of cell aggregates. We establish a coarse representation for each cell as a combination of membrane and cytoplasm dipole moments. Then we compute the effective conductivity of the resulting system, and thereafter derive a Fokker-Planck partial differential equation that captures the time-dependent evolution of the distribution of induced cellular polarizations in an ensemble of cells. Our model predicts that the polarization density parallel to an applied pulse follows a skewed t-distribution, while the transverse polarization density follows a symmetric t-distribution, which are in accordance with our direct numerical simulations. Furthermore, we report a reduced order model described by a coupled pair of ordinary differential equations that reproduces the average and the variance of induced dipole moments in the aggregate. We extend our proposed formulation by considering fractional order time derivatives that we find necessary to explain anomalous relaxation phenomena observed in experiments as well as our direct numerical simulations. Owing to its time-domain formulation, our framework can be easily used to consider nonlinear membrane effects or intercellular couplings that arise in several scientific, medical and technological applications.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
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subjects | Aggregates Computer simulation Couplings Cytoplasm Density Dipole moments Mathematical models Membranes Ordinary differential equations Partial differential equations Polarization Probability distribution Reduced order models Skewed distributions Time dependence |
title | A fractional stochastic theory for interfacial polarization of cell aggregates |
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