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Scratch Assay Analyzer

BF U2OS overlay.png
GFP U2OS overlay.png


  • Quantifies the scratch/ gap areas in monolayer cell culture images (scratch/ gap closure/ wound healing assay)
  • Tries to detect already closed scratches via classification utilizing (user trainable) support vector machines (SVM)
  • Tested on brightfield, phase contrast and fluorescence images
  • Combines the results from images of different time points in a results table

Name of Plugin/Operator:
(since MiToBo version 0.9.5)

Published in:
M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,
"Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines".
Pattern Recognition, Volume 45, Issue 9, pp. 3154-3165, September 2012.

M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch,
"Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measures".
Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA '11), LNCS 6669, pp. 100-108, Springer, Las Palmas de Gran Canaria, Spain, June 2011.

Additional operators contained in the package:

  • ScratchAssaySegmenter
    • segments single scrach assay images
  • ScratchAssaySVMTrainer
    • creates or validates SVM models for closed gap detection

Example images
Scratch assay images