[MORPHMET] 3D Quantitative Phenotyping Gateway (3DQPG): A Community Resource for Quantitative Phenotyping of Biological Structure

Dear all, I just learned that our resource allocation request on the NSF's XSEDE HPC infrastructure to create a science gateway for 3D quantitative phenotyping is approved. When implemented, this will be a cloud platform where registered users can upload their imaging datasets and use the

Re: [MORPHMET] digitizing very variable leaves

Not for fractal dimension but this can be done using user friendly free softwares just google it Il gio 15 mar 2018 15:17 Tina Klenovšek ha scritto: > Thank you very much, Paolo. I hope both can be done in NTSYSpc, because > unfortunately I don't use R. > > Tina > > > >

Re: [MORPHMET] digitizing very variable leaves

Hi Tina, if your colleagues are interested in the complexity of the leaves shapes more than in shape itself, it could be useful to compute the fractal dimension of the outlines of the leaves; it is very easy and it does not inform you about shape differences but about the "complexity" of the

Re: [MORPHMET] digitizing very variable leaves

Hi Tina, The software Shape by Iwata & Ukai is an user friendly option for performing elliptic Fourier analysis. https://academic.oup.com/jhered/article/93/5/384/2187412 http://lbm.ab.a.u-tokyo.ac.jp/~iwata/shape/ Elliptic Fourier analysis is also implemented in NTSYSpc, which is also

RE: [MORPHMET] digitizing very variable leaves

Thanks to all, Javier, Vincent, William, Joanna and Dr. Rohlf, my dilemma occurred because some botanists (I work with mammal skulls) have asked me to help them evaluate leaf variability of two tree species from different localities. So, variability within and among individual trees and

RE: [MORPHMET] digitizing very variable leaves

One could do that computationally but I would worry about the homology it might imply for such variable leaf shapes. You might try it and then check to see if, for example, a lobe on one leaf might be 20% of the linear distance around the outline but in another it might be 30% of the way