Quantitative analysis of tumour spheroid structure

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 http://dx.doi.org/https://doi.org/10.7554/eLife.73020

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. https://github.com/ap-browning/Spheroids

(copy archived here)

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. https://doi.org/10.5281/zenodo.5121093

以下为预印本的相关代码及关联数据：

AP Browning, JA Sharp, RJ Murphy, G Gunasingh, B Lawson, K Burrage, NK Haass, MJ Simpson. 2021 定量分析肿瘤球体结构. eLife http://dx.doi.org/https://doi.org/10.7554/eLife.73020

数据集包括关于从 WM793b 和 WM983b 黑色素瘤细胞培养的球体大小及其内部结构测量的相关数据，时间跨度最长可达 24 天。

代码、数据以及交互式图表作为 Julia 模块可在 GitHub 上获取：
Browning AP (2021) Github ID v.0.6.2. 定量分析肿瘤球体结构. https://github.com/ap-browning/Spheroids

(此处为存档副本)

用于处理实验图像的代码可在 Zenodo 上获取：
Browning AP, Murphy RJ (2021) Zenodo 图像处理算法，用于识别带有细胞周期标记的肿瘤球体结构. https://doi.org/10.5281/zenodo.5121093