Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38931
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dc.contributor.authorPENG, Qiyao-
dc.contributor.authorVERMOLEN, Fred-
dc.contributor.authorWeihs, D.-
dc.contributor.editorTavares, JMRS-
dc.contributor.editorBourauel, L.-
dc.contributor.editorGeris, L-
dc.contributor.editorSlote, JV-
dc.date.accessioned2022-11-28T09:14:34Z-
dc.date.available2022-11-28T09:14:34Z-
dc.date.issued2023-
dc.date.submitted2022-11-18T12:40:49Z-
dc.identifier.citationCOMPUTER METHODS, IMAGING AND VISUALIZATION IN BIOMECHANICS AND BIOMEDICAL ENGINEERING II, SPRINGER INTERNATIONAL PUBLISHING AG, p. 112 -122-
dc.identifier.isbn978-3-031-10015-4; 978-3-031-10014-7-
dc.identifier.issn2212-9391-
dc.identifier.urihttp://hdl.handle.net/1942/38931-
dc.description.abstractCancer cell migration between different body parts is the driving force behind cancer metastasis, which causes mortality of patients. Migration of cancer cells often proceeds by penetration through narrow cavities in possibly stiff tissues. In our previous work [12], a model for the evolution of cell geometry is developed, and in the current study we use this model to investigate whether followers among (cancer) cells benefit from leading (cancer) cells during transmigration through microchannels and cavities. Using Wilcoxon's signed-rank text on the data collected from Monte Carlo simulations, we conclude that the transmigration time for the stalk cell is significantly smaller than for the leading cell with a p-value less than 0.0001, for the modelling set-up that we have used in this study.-
dc.language.isoen-
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG-
dc.relation.ispartofseriesLecture Notes in Computational Vision and Biomechanics-
dc.rightsThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023-
dc.subject.otherCell metastasis-
dc.subject.otherEvolution of cell geometry-
dc.subject.otherMorphoelasticity-
dc.subject.otherAgent-based model-
dc.titlePredicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateSEP 07-09, 2021-
local.bibliographicCitation.conferencename17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE) / 5th Conference on Imaging and Visualization-
local.bibliographicCitation.conferenceplaceBonn, GERMANY-
dc.identifier.epage122-
dc.identifier.spage112-
dc.identifier.volume38-
local.format.pages11-
local.bibliographicCitation.jcatC1-
dc.description.notesPeng, Q (corresponding author), Leiden Univ, Math Inst, Niels Bohrweg 1, Leiden, Netherlands.; Peng, Q (corresponding author), Delft Univ Technol, Delft Inst Appl Math, Mekelweg 4, NL-2628 CD Delft, Netherlands.; Peng, Q (corresponding author), Hasselt Univ, Dept Math & Stat, Computat Math Grp, Fac Sci, Campus Diepenbeek, B-3590 Diepenbeek, Belgium.-
dc.description.notesq.peng@math.leidenuniv.nl; fred.vermolen@uhasselt.be;-
dc.description.notesdaphnew@technion.ac.il-
local.publisher.placeGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1007/978-3-031-10015-4_10-
dc.identifier.isi000876827700010-
local.provider.typewosris-
local.bibliographicCitation.btitleCOMPUTER METHODS, IMAGING AND VISUALIZATION IN BIOMECHANICS AND BIOMEDICAL ENGINEERING II-
local.description.affiliation[Peng, Q.] Leiden Univ, Math Inst, Niels Bohrweg 1, Leiden, Netherlands.-
local.description.affiliation[Peng, Q.; Vermolen, F. J.] Delft Univ Technol, Delft Inst Appl Math, Mekelweg 4, NL-2628 CD Delft, Netherlands.-
local.description.affiliation[Peng, Q.; Vermolen, F. J.] Hasselt Univ, Dept Math & Stat, Computat Math Grp, Fac Sci, Campus Diepenbeek, B-3590 Diepenbeek, Belgium.-
local.description.affiliation[Weihs, D.] Technion Israel Inst Technol, Fac Biomed Engn, IL-3200003 Haifa, Israel.-
local.uhasselt.internationalyes-
item.contributorPENG, Qiyao-
item.contributorVERMOLEN, Fred-
item.contributorWeihs, D.-
item.contributorTavares, JMRS-
item.contributorBourauel, L.-
item.contributorGeris, L-
item.contributorSlote, JV-
item.accessRightsOpen Access-
item.fullcitationPENG, Qiyao; VERMOLEN, Fred & Weihs, D. (2023) Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model. In: COMPUTER METHODS, IMAGING AND VISUALIZATION IN BIOMECHANICS AND BIOMEDICAL ENGINEERING II, SPRINGER INTERNATIONAL PUBLISHING AG, p. 112 -122.-
item.fulltextWith Fulltext-
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