Difference between revisions of "HypoPhen"
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The software, the C++ source code and the documentation will be released soon. Please contact [[User:Micha|Micha Hersch]] if you don't want to wait. | The software, the C++ source code and the documentation will be released soon. Please contact [[User:Micha|Micha Hersch]] if you don't want to wait. | ||
− | The (not yet fully written) manual is here [[ | + | The (not yet fully written) manual is here [[hypoPhenManual.pdf]] |
== 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 [[User:Sven|Sven Bergmann]], head of the CBG. It uses the OpenCV library and some code written by Basilio Noris. | 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 11:24, 10 February 2011
Contents
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.
Movie
Here is a movie File:HypoPhen movie1.avi.zip showing in real time an excerpt from the semi-automated processing of images of 14 hypocotyls. In those 20 seconds, five frames (70 hypocotyls) are processed.
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.
The (not yet fully written) manual is here hypoPhenManual.pdf
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.