Applications/ScratchAssayAnalyzer

Scratch Assay Analyzer

Description:

• 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:
de.unihalle.informatik.MiToBo.apps.scratchAssay.ScratchAssayAnalyzer
(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