Difference between revisions of "HypoPhen"

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== Credits ==
 
== Credits ==
Hypophen was written by [[User:Micha|Micha Hersch]] in collaboration with Chitose Kami and Christian Fankhauser from the Center for Integrative Genomics at the University of Lausanne. The project was initiated with the help of Ioannis Xenarios from Vital-IT and Sven Bergmann, head of the CBG. It uses the OpenCV library and some code written by Basilio Noris.
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Hypophen was written by [[User:Micha|Micha Hersch]] in collaboration with Chitose Kami and Christian Fankhauser from the Center for Integrative Genomics at the University of Lausanne. The project was initiated with the help of Ioannis Xenarios from Vital-IT and [[User:Sven|Sven Bergmann]], head of the CBG. It uses the OpenCV library and some code written by Basilio Noris.

Revision as of 19:30, 4 January 2011

Introduction

Hypophen is a software enabling the semi-automatic phenotyping of growing seedlings from time-lapse images. More precisely, it computes and records the elongation and bending of the seedlings. It is semi-automatic in the sense that manual calibration, verification and adjustments are sometimes needed. In my experience, it allows a throughput of about 50 images of 20 hypocotyls in about 10 minutes, given a reasonable image quality.


Download

The software, the C++ source code and the documentation will be released soon. Please contact Micha Hersch if you don't want to wait.

Credits

Hypophen was written by Micha Hersch in collaboration with Chitose Kami and Christian Fankhauser from the Center for Integrative Genomics at the University of Lausanne. The project was initiated with the help of Ioannis Xenarios from Vital-IT and Sven Bergmann, head of the CBG. It uses the OpenCV library and some code written by Basilio Noris.