Hello, Unfortunately I never got to revising the code for a pull request, nor documenting it as I would have liked. A Cython code is available at ridge-directed-ring-detector <https://github.com/eldad-a/ridge-directed-ring-detector> where you can also find a usage example in the format of an ipython-notebook; a static view is available here <http://nbviewer.ipython.org/github/eldad-a/ridge-directed-ring-detector/blob...> . For those who are interested, the manuscript has been updated (version v2) and is available at arXiv:1310.1371 <http://arxiv.org/abs/1310.1371> . In case there is interest from the community, I can try to modify it to conform to the scikit-image standards, based on your comments. Congratulations for the new scikit-image paper! Best wishes, Eldad On Thursday, 13 March 2014 23:34:32 UTC+2, Stefan van der Walt wrote:

Hi Eldad

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I summarised the work in a manuscript titled: "Robust and highly performant ring detection algorithm for 3d particle tracking using 2d microscope imaging" (a pre-print is available at arXiv:1310.1371). NB, it was written minded at potential users and applications rather

On Sun, Mar 9, 2014 at 3:28 PM, Eldad Afik <eldad...@gmail.com <javascript:>> wrote: than

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computer scientists, which I am not.

Shall we start working on a pull request with a proof of concept illustration?

Stéfan