Data

Quantitative analysis of tumour spheroid structure

Queensland University of Technology
Browning, Alexander ; Sharp, Jesse ; Murphy, Ryan ; Gunasingh, Gency ; Lawson, Brodie ; Burrage, Kevin ; Haass, Nikolas ; Simpson, Matthew
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25912/RDF_1646701077584&rft.title=Quantitative analysis of tumour spheroid structure&rft.identifier=10.25912/RDF_1646701077584&rft.publisher=Queensland University of Technology&rft.description=Code and associated data for the following preprint: AP Browning, JA Sharp, RJ Murphy, G Gunasingh, B Lawson, K Burrage, NK Haass, MJ Simpson. 2021 Quantitative analysis of tumour spheroid structure. eLife Data comprises measurements relating to the size and inner structure of spheroids grown from WM793b and WM983b melanoma cells over up to 24 days. Code, data, and interactive figures are available as a Julia module on GitHub: Browning AP (2021) Github ID v.0.6.2. Quantitative analysis of tumour spheroid structure. (copy archived ) Code used to process the experimental images is available on Zenodo: Browning AP, Murphy RJ (2021) Zenodo Image processing algorithm to identify structure of tumour spheroids with cell cycle labelling. &rft.creator=Browning, Alexander &rft.creator=Sharp, Jesse &rft.creator=Murphy, Ryan &rft.creator=Gunasingh, Gency &rft.creator=Lawson, Brodie &rft.creator=Burrage, Kevin &rft.creator=Haass, Nikolas &rft.creator=Simpson, Matthew &rft.date=2022&rft.edition=1&rft.coverage=Translational Research Institute, Brisbane, Australia&rft.coverage=153.031259,-27.499107&rft_rights=© Queensland University of Technology, University of Queensland, University of Oxford 2022. &rft_subject=Statistics&rft_subject=MATHEMATICAL SCIENCES&rft_subject=Numerical and computational mathematics&rft_subject=Applied mathematics&rft_subject=Cancer cell biology&rft_subject=Oncology and carcinogenesis&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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© Queensland University of Technology, University of Queensland, University of Oxford 2022.

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Code available in Zenodo that was used to process the experimental images is licenced under an MIT License. All code and data available in GitHub is licenced under a Creative Commons CC-BY license.

Contact Information

Postal Address:
Alexander Browning

ap.browning@qut.edu.au

Full description

Code and associated data for the following preprint:

AP Browning, JA Sharp, RJ Murphy, G Gunasingh, B Lawson, K Burrage, NK Haass, MJ Simpson. 2021 Quantitative analysis of tumour spheroid structure. eLife

Data comprises measurements relating to the size and inner structure of spheroids grown from WM793b and WM983b melanoma cells over up to 24 days.

Code, data, and interactive figures are available as a Julia module on GitHub:

Browning AP (2021) Github ID v.0.6.2. Quantitative analysis of tumour spheroid structure.

(copy archived )

Code used to process the experimental images is available on Zenodo:

Browning AP, Murphy RJ (2021) Zenodo Image processing algorithm to identify structure of tumour spheroids with cell cycle labelling.

Data time period: 05 02 2018 to 20 08 2018

This dataset is part of a larger collection

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153.03126,-27.49911

153.031259,-27.499107

text: Translational Research Institute, Brisbane, Australia

Subjects
Applied Mathematics | Biomedical and Clinical Sciences | Cancer Cell Biology | Mathematical Sciences | Numerical and Computational Mathematics | Oncology and Carcinogenesis | Statistics |

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