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Software and data for In silico mechanics of stem cells intramyocardially transplanted with a biomaterial injectate for treatment of myocardial infarction.

Version 2 2024-04-02, 10:49
Version 1 2023-05-25, 07:28
dataset
posted on 2024-04-02, 10:49 authored by Dodzi MotchonDodzi Motchon, Kevin Sack, Mazin Sirry, John Nchejane, Tamer Abdalrahman, Juliet Nagawa, Maritza Kruger, Elin Pauwels, Denis Van Loo, Amélie De Muynck, Luc Van Hoorebeke, Neil Hamer Davies, Thomas FranzThomas Franz

Finite element models: 2x

1) BV_Model.cae: Abaqus CAE file of the biventricular FE model with material parameters for the injectate and the myocardium implemented

2) subModel.cae: Abaqus CAE file of the microstructural submodel with material parameters for the cellular components (membrane, cytoplasm, nucleus) implemented

Excel files: 2x

1) cellStrainData.xlsx: End-systolic and end-diastolic maximum and minimum principal strain for cell components (membrane, cytoplasm and nucleus), ED-ES maximum and minimum principal strain ranges

2) ED_ES_Strain_Injectate.xlsx: End-systolic and end-diastolic maximum and minimum principal strain in injectate

Python files: 3x

1) cell_seeding.py: Numerical seeding of cells in submodel

2) boxplotED_ES_MaxPrinc.py: loads strain data and plot box plot figures of injectate

3) postProcesDataPlotFunctions.py: contains function to plot histograms and box plots

Funding

National Research Foundation of South Africa (IFR14011761118 to TF)

South African Medical Research Council (SIR328148 to TF)

CSIR Centre for High Performance Computing (CHPC Flagship Project Grant IRMA9543 to TF)

Dr. Leopold und Carmen Ellinger Stiftung (UCT Three-Way PhD Global Partnership Programme Grant DAD937134 to TF)

History

Department/Unit

Biomedical Engineering Research Centre Department of Human Biology Faculty of Health Sciences University of Cape Town

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