Standard
Harvard
Peng, Q, Vermolen, FJ & Weihs, D 2022,
Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model. in JMRS Tavares, C Bourauel, L Geris & J Vander Slote (eds),
Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II : Selected Papers from the 17th International Symposium CMBBE and 5th Conference on Imaging and Visualization, September 7-9, 2021. Lecture Notes in Computational Vision and Biomechanics, vol. 38, Springer, Cham, pp. 112-122.
https://doi.org/10.1007/978-3-031-10015-4_10
APA
Peng, Q., Vermolen, F. J., & Weihs, D. (2022).
Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model. In J. M. R. S. Tavares, C. Bourauel, L. Geris, & J. Vander Slote (Eds.),
Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II : Selected Papers from the 17th International Symposium CMBBE and 5th Conference on Imaging and Visualization, September 7-9, 2021 (pp. 112-122). (Lecture Notes in Computational Vision and Biomechanics; Vol. 38). Springer.
https://doi.org/10.1007/978-3-031-10015-4_10
Vancouver
Peng Q, Vermolen FJ, Weihs D.
Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model. In Tavares JMRS, Bourauel C, Geris L, Vander Slote J, editors, Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II : Selected Papers from the 17th International Symposium CMBBE and 5th Conference on Imaging and Visualization, September 7-9, 2021. Cham: Springer. 2022. p. 112-122. (Lecture Notes in Computational Vision and Biomechanics). doi: 10.1007/978-3-031-10015-4_10
Author
Bibtex
@inproceedings{5293ce6859d94a83972a5829d009fcf6,
title = "Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model",
abstract = "Cancer 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 micro-channels and cavities. Using Wilcoxon{\textquoteright}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.",
author = "Q. Peng and F.J. Vermolen and D. Weihs",
year = "2022",
month = jul,
day = "30",
doi = "10.1007/978-3-031-10015-4_10",
language = "English",
series = "Lecture Notes in Computational Vision and Biomechanics",
publisher = "Springer",
pages = "112--122",
editor = "Tavares, {Jo{\~a}o Manuel R. S.} and Christoph Bourauel and Liesbet Geris and {Vander Slote}, Jos",
booktitle = "Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II",
}
RIS
TY - GEN
T1 - Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model
AU - Peng, Q.
AU - Vermolen, F.J.
AU - Weihs, D.
PY - 2022/7/30
Y1 - 2022/7/30
N2 - Cancer 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 micro-channels 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.
AB - Cancer 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 micro-channels 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.
U2 - 10.1007/978-3-031-10015-4_10
DO - 10.1007/978-3-031-10015-4_10
M3 - Conference contribution/Paper
T3 - Lecture Notes in Computational Vision and Biomechanics
SP - 112
EP - 122
BT - Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II
A2 - Tavares, João Manuel R. S.
A2 - Bourauel, Christoph
A2 - Geris, Liesbet
A2 - Vander Slote, Jos
PB - Springer
CY - Cham
ER -
