Data underlying the publication: Linking Metastatic Potential and Viscoelastic Properties of Breast Cancer Spheroids via Dynamic Compression and Relaxation in Microfluidics

doi:10.4121/0af4ded1-d90f-405b-9a2e-482eae8a8a3a.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/0af4ded1-d90f-405b-9a2e-482eae8a8a3a
Datacite citation style:
Tavasso, Margherita; Deep Bordoloi, Ankur ; Tanré, Elsa; Dekker, Sanne A.H.; Garbin, Valeria et. al. (2025): Data underlying the publication: Linking Metastatic Potential and Viscoelastic Properties of Breast Cancer Spheroids via Dynamic Compression and Relaxation in Microfluidics. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0af4ded1-d90f-405b-9a2e-482eae8a8a3a.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The research objective is to investigate the relationship between the viscoelastic properties of breast cancer spheroids and their metastatic potential. The study employs a microfluidic device to subject spheroids to controlled dynamic compression, followed by monitoring their relaxation behavior. 

The experiments were performed on a brightfield microscope, while the immunostaining images were taken on a confocal microscope. The images were extracted as .tif files and implemented in custom made MATLAB codes to analyse the spheroid compression and relaxation dynamics. Parameters like axial strain (for compression), deformation parameters (for relaxation), circularity were defined and fitted to physical models to extract viscoelastic parameters and relaxation timescales. The file include also the codes to generate the final figures included in the manuscript. A README file helps navigating the folders.


history
  • 2025-01-09 first online, published, posted
publisher
4TU.ResearchData
format
image/.tif, MATLAB code/.m, MATLAB data/.mat, MATLAB figure/.fig, Excel/.xlsx, Word/.docx, Adobe PDF/.pdf, Microsoft PowerPoint Presentation/.pptx)
funding
  • European Union's Horizon 2020 research and innovation program (grant code 819424) European Research Council (ERC)
  • HORIZON EUROPE Marie Sklodowska-Curie Postdoctoral Fellowship 2022 (grant code 101111247)
organizations
TU Delft, Faculty of Applied Sciences, Department of Chemical Engineering, Product and Process Engineering

DATA

files (1)