Supplemental materials for "Live time-lapse dataset of in vitro wound healing experiments."

The wound healing assay is the common method to study collective cell migration in-vitro. Computational analyses of live imaging exploit the rich temporal information and significantly improve understanding of complex phenomena that emerge during this mode of collective motility. Publicly available experimental data can allow application of new analyses to promote new discoveries, and assess algorithms’ capabilities to distinguish between different experimental conditions.
Here we present a freely-available dataset of 31 time-lapse in vitro wound healing experiments of two cell lines. It consists of 6 different experimental conditions with 4-6 replicates each, gathered to study the effects of a growth factor on collective cell migration. A full detailed description of the data, intermediately processed data, scripts and experimental validations (all available here) are reported in the GigaScience Datanote.
Links to "The Cell: an image library", found below, are to the raw image data; group 45451 contains the DA3 images, while group 44501 holds the MDCK images.

Read the peer-reviewed publication(s):

• Zaritsky, A., Natan, S., Kaplan, D., Ben-Jacob, E., & Tsarfaty, I. (2015). Live time-lapse dataset of in vitro wound healing experiments. GigaScience, 4(1). https://doi.org/10.1186/s13742-015-0049-6

Additional information:

http://www.cellimagelibrary.org/groups/45451

http://www.cellimagelibrary.org/groups/44501

Github links:

https://github.com/gigascience/paper-zaritsky2015