CENTURI Multi-Engineering Platform

Support and Research Unit (UAR 2027 - US 60)

Overview of the platform

Submitted projects
Ongoing projects
Publications

One major objective of CENTURI is to involve engineers in the experimental and conceptual challenges of systems biology, while developing industrial partnerships.

The Multi-Engineering Platform CENTURI (UAR 2027 - US 60) has been created to provide additional expertise in image processing, bioinformatics, machine learning & data analysis, software development and mechatronics. Our engineers are here to help and advise the scientific community in their daily research questions and/or participate in longer term projects. By organising events and connecting different CENTURI labs, the platform hopes to build a strong cooperative spirit and facilitate the dissemination of information between the teams and the platform.

Our engineers

Our process

You have an engineering question or an issue that you canno’t solve with your platform: meet us at the open desk or contact us directly.

One of our engineers will be assigned to you and will guide you through our request management process.

We strongly encourage you to contact us as early as possible during the project. We can advise you on the acquisition of experimental data in order to facilitate future analyses.

Process

We can also help you recruit and supervise an engineer working in your team and dedicated entirely to your projects.

Please contact us for more information.

Next event

Coming soon

Info feed

A new engineer joins CENTURI

Guillaume G engi

A new engineer, Muhammad Asif, joins the CENTURI multi-engineering platform as bioinformatics and data analyst.

The Multi-Engineering Platform is now part of the French Institute of Bioinformatics (IFB).

logo_ifb

The IFB is the National Bioinformatics Infrastructure that provides support, deploys services, organizes training and carries out innovative developments for the life sciences communities.

CENTURI Engineering seminar: EPySeg a new deep learning method for epithelial cell segmentation.

epyseg

Benoit Aigouy presented his new EPySeg, a method to segment epithelial cells using deep learning.

Join our Slack channels

You can now join our CENTURI multi-engineering platform Slack account to discuss with us and with the CENTURI community :

Contact us

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Access map

CENTURI Multi-engineering platform

Bâtiment TPR2, RdC
Campus de LUMINY
163 Avenue de Luminy
13288 Marseille Cedex 9