Research‎ > ‎


CAIMAN : CAncer IMage Analysis

CAIMAN is an Image Analysis internet-based project that combines the strength of open-source web-based scripting languages, the powerful high-level technical computing language MATLAB, and the vast literature on image analysis and computer vision to provide a user-friendly web-page where any person can upload cancer-related images and execute analysis algorithms and obtain quantitative measurements related to their images.

The algorithms available at the moment at CAIMAN are:

  • measuring cellular migration for scratch wound assays,
  • vasculature tracing with a scale space ridge tracing,
  • shading correction based on a signal envelope estimation retrospective algorithm,
  • Endothelial cell segmentation using a chromatic segmentation algorithm.

More algorithms will be available in the future.

CAIMAN is accessible through this website:

Follow this link for the paper where CAIMAN is described in detail: Reyes-Aldasoro, C.C., Griffiths, M.K., Savas, D. & Tozer, G.M. (2010) CAIMAN: An online algorithm repository for Cancer Image Analysis. Comput. Meth. Prog. Bio. in press, doi:10.1016/j.cmpb.2010.07.007.