CellMissy is a cross-platform data management system for cell migration/invasion data that simplifies and fully automates data management, storage and analysis, from experimental set-up to data visualization and exploration. CellMissy is a client-server application with a graphical user interface on the client, and a relational database in the back-end to store the data. The client application is composed of three modules that cover the different functions of CellMissy: the Experiment Manager, the Data Loader and the Data Analyzer. On top of these modules, CellMissy provides tools for import/export of full experiments and templates.
CellMissy is described in “CellMissy: a tool for management, storage and analysis of cell migration data produced in wound healing-like assays.” (P. Masuzzo, N. Hulstaert, L. Huyck, C. Ampe, M. Van Troys and L. Martens, PMID: 23918247)
The single-cell analysis is presented in “An end-to-end software solution for the analysis of high-throughput single-cell migration data.” (P. Masuzzo, L. Huyck, A. Simiczyjew, C. Ampe, L. Martens, and M. Van Troys, PMID: 28205527)
January 2018: CellMissy 1.2.0 adds the DoRes module, which enables dose-response analyses for collective migration experiments as well as generic dose-response datasets!
November 30, 2013: CellMissy 1.0.4 is now available!
CellMissy: DB schema has been modified to take into account users privileges in relation to projects and experiments. Download the new SQL script to create your CellMissy DB (see more in the downloads section).
Download CellMissy 1.2.0 here.
Download CellMissy 1.1.0 and 1.0.4 here.
- Example 2D ORIS: data + output
- Example dataset Scratch
- CellMissy SQL schema
- CellMissy xsd schema
- XML file to be used in the "Import experiment" feature of CellMissy
- XML (set-up template) file to be used in the "Import template" feature of CellMissy
See the manual for further information on how to use the tool. This manual version of CellMissy focuses on wound healing data from scratch assay or cell zone exclusion assays of different types.
The CellMissy project is grateful for the support by: