Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free:

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site:, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Google Analytics

Targeted advertising cookies


The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at or by post at:

24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal Partenaires

Home page

High Throughput Phenotyping in Arabidopsis thaliana

IJPB - INRAE - Versailles-Grignon


The Phenoscope is a high-throughput phenotyping device to handle and monitor hundreds of individual pots, each containing a single plant. It is typically used to track vegetative growth under various environments on a large number of genotypes.

Phenoscope from Labex SPS on Vimeo.

The pots are rotated continuously (typical cycle of 4 hours) on a closed-circuit track consisting of a series of switchback turns that allow the 700+ plants to be exposed to very homogeneous conditions. Weighing / watering stations allow to monitor and adjust watering and nutrients at every cycle following precise scenarios defined by the user for each pot, while imaging stations are designed to acquire non-destructive phenotypes in the visible and IR range. The Phenoscope is specifically designed to handle small plants (Arabidopsis) during their vegetative phase and is not (yet) intended to monitor growth in 3D or handle plants beyond flowering initiation. We have shown that the average gain enabled by the Phenoscope (in terms of reduction in the environmental heterogeneity or in the number of replicates needed) was about a factor 3.

These robots allow to perform experiments that would not be viable or reproducible by hand.

Phenoscopes are typically best exploited in quantitative genetics approaches (QTL, GWAS), mutant screens or any other large scale experiment that require the comparison of hundreds of individuals in different environments. They can also be useful for a detailed characterisation of a small number of specific lines (in comparison with other datasets present in our database) and for the establishment of response curves against multiple gradual stress treatments.

There are only 4 of these robots in the community, all at IJPB (INRAE Versailles) as part of the Plant Observatory. They are placed in 2 distinct growth chambers with contrasted lighting (either fluorescent or white LED lights). Environmental settings are constrained and we strongly favor experiments in our standard conditions, i.e. short days (= 8h photoperiod) and standard temperature (21°C/18°C) and hygrometry (65%).

The PhenoscopeTM is filed under an INRA patent.

For more information (or citation purposes): Tisné et al., The Plant Journal, 2013

Contact us at ijpb-phenoscope[at]

Please always contact us BEFORE submitting a project/grant that could make use of the Phenoscope or we may not be able to answer your needs !


Scientific manager

Olivier Loudet


Christine Camilleri

Tel : +33 (0)1 30 83 30 00
Tel : +33 (0)1 30 83 33 16
Fax : +33 (0)1 30 83 33 19



Institut Jean-Pierre Bourgin
Bâtiment 7
INRAE Centre de Versailles-Grignon
Route de St-Cyr (RD10)
78026 Versailles Cedex France


Région Île de France