Difference between revisions of "HypoPhen"
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In collaboration with the group of Christian Fankhauser at CIG, UNIL, we developed the HypoPhen software for the high throughput quantification of seedling elongation and bending from time-lapsed images. Using this tool, hundreds of Arabidopsis seedlings were measured to show that phytochrome A in the nucleus is important for phototropism. The results have been published in [http://www.plantcell.org/cgi/content/short/tpc.111.095083?keytype=ref&ijkey=krNVCQ5WJMpbgHV Plant Cell] on February 28. | In collaboration with the group of Christian Fankhauser at CIG, UNIL, we developed the HypoPhen software for the high throughput quantification of seedling elongation and bending from time-lapsed images. Using this tool, hundreds of Arabidopsis seedlings were measured to show that phytochrome A in the nucleus is important for phototropism. The results have been published in [http://www.plantcell.org/cgi/content/short/tpc.111.095083?keytype=ref&ijkey=krNVCQ5WJMpbgHV Plant Cell] on February 28. | ||
Revision as of 16:26, 24 May 2012
Contents
Introduction
Hypophen is an open-source 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.
The software was developed within the context described in the following paper:
<biblio>
- kami2012 pmid=22374392
</biblio>
Movies
Here is a movie 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. Here is another movie showing the analysis from scratch of the 12 example images of 5 hypocotyls, including the manual calibration procedure.
Prerequisite
Hypophen works on Linux, Mac OS X version 10.6 or later and Windows.
For Linux and Mac, it needs the OpenCV library (free) and must be compiled from source, The use of CMake (also free) makes this rather straightforward. You also need a two button mouse to use the software. More details are given in the manual.
Windows user can directly download the executable file and launch it from the command prompt
Download
The C++ source code (version 0.3) is available here: Media:hypophen.tar.gz. The latest code is available on sourceforge
The windows executable (along with required dlls) for Windows 7 is here: Media:HypoPhen_win.zip. Note that this executable is for the standard x86 (32 bits) architectures. Let Micha know if you need it for a 64 bits architecture.
There is also a dmg file for MacOS.
The manual explains how to install and use the software.
You can also download a small set of hypocotyl test images to test the software. Those images were kindly provided by Emilie Demarsy.
Quick testing
For Mac OS, you can download the dmg file and the test images. Unzip the test images and put the "images" folder in the hypoPhen.app/Contents/MacOS/ folder (yes, you have to enter the hypoPhen application folder). Double click on hypoPhen file in this same folder, will launch the software on the test images. Refer to the manual for usage and more detailed instructions.
For Windows 7, you can download the windows executable and the test images. Unzip both files and put the "images" folder in the "HypoPhen_win" folder. Double click on hypoPhen file in this same folder, will launch the software on the test images. Refer to the manual for usage and more detailed instructions.
Related software
Software trying to achieve similar goals include HypoTrace and HyDe both of which are matlab-based and not open-source.
Benefiting and contributing
This software is provided "as is", in the hope that it will be useful but without any warranty of any kind. If you use this software for research purposes, please be kind enough to mention it in your scientific publications by citing the Plant Cell paper above. If you find any bug, have any problem with the installation or would like to contribute to further developing this software, please write an email to Micha Hersch. The project is also available on sourceforge
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. Emilie Demarsy provided useful feedback and example of images.
The development of this software was funded by SystemsX throught the Plant Growth project
