France BioImaging and all the French community aims to develop and promote innovative imaging technologies and methods. But microscopy images can also take an artistic, creative look and make the invisible world beautiful, allowing people to see the visual appeal of the life sciences. 

We enjoyed the diversity of the images submitted with many different microscopy techniques, models and applications represented. A big thank you to all the participants!

The National Coordination Team and the Executive Board are proud to announce the winners of the FBI Image Contest 2021:

  • 1st Place: Léna Meneux, Eye Team, Institut des Neurosciences de Montpellier

The eye of the storm

Sensory fibers of a mouse cornea imaged with a confocal microscope. The corneal nerves converge toward the centre forming a vortex. This particular transgenic mouse model allows stochastic expression of fluorescent proteins, unravelling the heterogeneity of the fiber origines inside the corneal epithelium.
Acknowledgements to Karine Loulier for the mouse model and Laetitia Hudececk for her help during the acquisition.

Confocal microscopy

  • 2nd Place: Eunice HoYee Chan, Muscle Dynamics Team, Developmental Biology Institute of Marseille (IBDM)
Myofibrils isolated from Drosophila indirect flight muscle labelled with titin (yellow) and actin (blue). Image captured from confocal microscope. We are studying the role of titin protein in muscle mechanics and organisation during development

“Sarcomeric bouquet”

Myofibrils isolated from Drosophila indirect flight muscle labelled with titin (yellow) and actin (blue). Image captured from confocal microscope. We are studying the role of titin protein in muscle mechanics and organisation during development.

Confocal LSM880
  • 3rd Place: Camille Boutin, Biology of multiciliated cells Team, Developmental Biology Institute of Marseille (IBDM) & Nicolas Brouilly, PICsL Imaging facility, Electron Microscopy department
Lamellar structure in a differentiating multiciliated cell observed by transmission electron microscopy with a Tecnai G2 200kV FEI.

“Clown”

Lamellar structure in a differentiating multiciliated cell observed by transmission electron microscopy with a Tecnai G2 200kV FEI.

Transmission Electron Microscopy, Tecnai G2 200kV FEI

Congratulations to the winners!


Explore all the images submitted here:

As stated in the Terms & Conditions of the contest, foreign participants non-affiliated to a French institution are featured in the gallery, but were not evaluated as part of the contest.

Euro-BioImaging first open call for user projects is open! If you have an idea for a biological or biomedical imaging project that you, your student or your close colleague could carry out in one of Euro-BioImaging Nodes, including France-BioImaging, now is the time to make this project come true with financial support from the Euro-BioImaging Access Fund.

How it works:

Submit your project proposal through the Euro-BioImaging web portal between October 20 and December 15, 2021, and indicate that you want to apply for the Euro-BioImaging Access Fund in order to be considered for a grant of up to 5.000 Euros to access the imaging services at a Euro-BioImaging Node. Projects will be evaluated by a committee of independent reviewers. Successful applicants will be notified by late January 2022 and successful projects should be started before July 2022.

What the funding covers:

The Euro-BioImaging Access Fund covers the user’s travel and accommodation costs as well as access and consumable costs at the imaging facilities that are part of Euro-BioImaging Nodes. For remote access projects shipment costs are also covered. Each successful applicant is eligible for up to 5.000 Euros of support.

Who is eligible:

All academic scientists, regardless of gender, nationality, home institution, career phase, or field of interest, are eligible to apply. We strongly encourage early career researchers to apply for this grant.

Projects should include transnational access to a Euro-BioImaging Node, i.e. the applicant’s home institution is in a different country than the Node where the project is to be performed. Due to the current sanitary situation, projects with non transnational access are elligible but transnational access will have priority.

All the external users/collaborators of France BioImaging facilities/labs are eligible:

  • any users from outside the institutional perimeter of France BioImaging nodes (i.e. from outside the following institutions: Aix-Marseille Université, Université de Montpellier, Université de Bordeaux, Université de Nantes, Université de Rennes 1, Université Paris-Saclay, Université de Paris, Université PSL -Paris Sciences & Lettres-, Généthon, Ecole Polytechnique, Institut Pasteur) who would like to use imaging technologies in one of FBI nodes: Paris Centre, Paris Ile-de-France-Sud, Marseille, Montpellier, Bordeaux, Bretagne-Loire. They can be French or international users – EU and non-EU
  • or users from a France BioImaging regional Node who want to access an equipment available in another FBI regional node.

Evaluation:

All applications will be evaluated for scientific excellence by a committee of independent reviewers. Selected projects will be assessed for technical feasibility and if needed receive technical advice from the Node providing the service.

How to apply:

Applicants are invited to visit our website to discover the range of technologies provided by Euro-BioImaging Nodes. Applicants will then follow the user access process described here: https://www.eurobioimaging.eu/about-us/how-to-access and indicate that they wish to apply for the Euro-BioImaging Access Fund in the application form.

The detailed procedure to apply to access one of France BioImaging facilities is available here: https://france-bioimaging.org/access/

Full details: https://www.eurobioimaging.eu/about-us/funding-user-access

The France BioImaging Image Contest is back for its 3rd edition!

This image contest is open to all within the imaging community: core facility staff and users, R&D labs teams and co-workers, students… Submit your best microscopy images for a chance to showcase your skills, research and creativity to the French bioimaging community and beyond, allowing people to see the visual appeal of the life sciences. Images from the contest will be featured on France BioImaging communication tools, online and in print.

France BioImaging and all the French community aims to develop and promote innovative imaging technologies and methods. But microscopy images can also take an artistic, creative look and make the invisible world beautiful.

We are all eager to see your work !

Prizes

1 to 3 images will be awarded depending on the quantity and quality of the entries submitted. France BioImaging will cover the registration fees for one 2022 microscopy related event of the winners’ choice (FOM, ELMI, EMC, COMULIS conference, etc.).

Important: Only French or foreign participants affiliated to a French institution can enter the contest. Foreign participants non-affiliated to a French institution can submit images and will be featured in the gallery, but will not be evaluated as part of the contest.

Submission deadline: Friday, October 15th, 2021, 23h59 UTC+2. 

Click here to consult the terms and conditions of the contest. When you are ready, submit your entry by filling the form below. You can check out last editions’s entries for inspiration. One participant can submit several entries (up to 3).


This form is currently closed for submissions.

A new version of TrackMate is available now, with major changes that improve its versatility. TrackMate now integrates state-of-the-art segmentation algorithms from machine-learning and deep-learning such as StarDist, Ilastik and Weka.

TrackMate[1] is a Fiji plugin that address cell or organelle tracking in Life-Science microscopy images. Its main goals are to be user-friendly, interoperable and to serve as a platform to accelerate the development of novel tracking algorithms and analysis pipelines.

With this new version we rewrote almost entirely TrackMate so that it can integrate state-of-the-art segmentation algorithms and benefit from their output. For instance, TrackMate can now store, display, save, load and exploit object contours in 2D.

We also made a new application programming interface that will facilitate and accelerate reusing TrackMate in other analysis pipelines and allow 3rd party contributors to add new segmentation algorithms in TrackMate in an easy way. We used this API ourselves to add 7 new segmentation algorithms to TrackMate:

For instance, the StarDist[2] algorithm is integrated as two different detectors. The first one uses the built-in deep-learning model that can segment cell nuclei in fluorescence image in a wide range of situation. The robustness of the StarDist algorithm in turn positively impacts the robustness of tracking and allows for better detection of cell divisions with TrackMate tracking algorithms. This will facilitate cell migration studies.

The TrackMate StarDist integration also allows for specifying and using a custom deep-learning model. For instance, we trained a specific model to detect T-cells imaged in bright-field microscopy and track them over time. Before the emergence of such detection algorithms, the tracking of label-free cells was difficult.

We also integrated the ilastik[3] segmentation software. A TrackMate user can input an ilastik classifier to detect objects then track them. We used them to study the bacterial growth of Neisseria meningitidis clones. The output of this analysis pipeline offers the lineage of each single cell along with its morphology and how it evolves across cell divisions.

The new capabilities of TrackMate can be used to address applications beyond tracking. For instance, it is now possible to use TrackMate to perform the segmentation of 3D objects using a slice-by-slice approach. This approach consists in segmenting objects in each 2D section of a 3D stack, then merging the segmentation results along Z in a subsequent step. This can be done in TrackMate, using the tracking step for merging. We implemented a novel tracking algorithm to foster this application, the overlap tracker. We could use this approach combining the cellpose[4] algorithm in 2D to segment 3D images of Arabidopsis thaliana floral meristem.

There are several other algorithms that are now offered to the TrackMate user, within a user-friendly software meant to interoperate with the key software of bioimage analysis. More importantly, TrackMate is an open-source academic software, and its new API will foster the development of new analysis pipeline with TrackMate and the integration of new algorithms by other developers, increasing the breadth of applications it can address for Life-Science researchers.


This new version of TrackMate is the product of a collaboration between the IAH facility (Institut Pasteur), part of the FBI Bioimage Informatics Node , the Jacquemet lab (Turku Bioscience Centre) , and the Dumenil lab (Institut Pasteur) .

Bringing TrackMate in the era of machine-learning and deep-learningDmitry Ershov, Minh-Son Phan, Joanna W. Pylvänäinen, Stéphane U. Rigaud, Laure Le Blanc, Arthur Charles-Orszag, James R. W. Conway, Romain F. Laine, Nathan H. Roy, Daria Bonazzi, Guillaume Duménil, Guillaume Jacquemet, Jean-Yves Tinevez bioRxiv 2021.09.03.458852; doi: https://doi.org/10.1101/2021.09.03.458852

Contact: Jean-Yves Tinevez


[1] https://imagej.net/plugins/trackmate/

[2] Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, and Gabor Fichtinger Uwe Schmidt, Martin Weigert, Coleman Broaddus, and Gene Myers. Cell detection with star-convex polygons. In Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, and Gabor Fichtinger, editors, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, pages 265–273, Cham, 2018. Springer International Publishing. doi:10.1007/978-3-030-00934-2_30.

[3] Stuart Berg, Dominik Kutra, Thorben Kroeger, Christoph N Straehle, Bernhard X Kausler, Carsten Haubold, Martin Schiegg, Janez Ales, Thorsten Beier, Markus Rudy, Kemal Eren, Jaime I Cervantes, Buote Xu, Fynn Beuttenmueller, Adrian Wolny, Chong Zhang, Ullrich Koethe, Fred A Hamprecht, and Anna Kreshuk. ilastik: interactive machine learning for (bio)image analysis. Nature Methods, 16(12):1226–1232, 2019. ISSN 1548-7105. doi:10.1038/s41592-019-0582-9.

[4] Carsen Stringer, Tim Wang, Michalis Michaelos, and Marius Pachitariu. Cellpose: a generalist algorithm for cellular segmentation. Nature Methods, 18(1):100–106, jan 2021. doi:10.1038/s41592-020-01018-x.

France BioImaging primary mission is to develop, promote, disseminate and provide access to innovative instruments and imaging technologies in the field of bioimaging to scientists. Fostering the technological transfers is at the heart of this mission, and for this France BioImaging relies on a strong association of leading R&D research teams with core facilities.

However, several bottlenecks exist and often hamper or prevent successful technology transfer:

  • A lack of human resource leads to difficulties in transferring and stabilizing the technology which is not enough user-friendly
  • A technology that is too specific, with not enough user base
  • A difficulty to contract with industry through institutional offices for industrial valuation
  • In the context of image analysis: the instability of open software economical model, inter-operability, large data handling and algorithm complexity

As a way to tackle these bottlenecks, France BioImaging launched in January 2021 its first “FBI Internal Call 2021: Technology transfer from the R&D teams to the core facilities” to promote the transfer of new technologies (instrumentation, probes, staining methods, software, data analysis or data visualization) from the R&D teams to the facilities of France BioImaging, for access and service to end-users. The outcome of the transfer project had to ensure for the prototype to be usable by the end-users until the interpretation of the data. The project had also to include a sustainability plan and a training plan to guide both facility staff and end-users toward autonomy.

The project selection was organized by the National Coordination of France-BioImaging and applications were assessed according to the following evaluation criteria:

  • Innovation and originality of the proposal
  • Scientific quality, implementation, timeline
  • Competitive positioning
  • Adequacy of resources with the proposed project
  • Economic impact and tech transfer potential and perspectives
  • Estimation of the user market and potential for user adoption
  • Plan for training and sustainability.

For the first edition of the “FBI Internal Call 2021: Technology transfer from the R&D teams to the core facilities”, 5 projects were selected:

  • Icy@FBI: Jean-Christophe Olivo-Marin (IPDM Node): Broadening the scope of applications of Icy (http://icy.bioimageanalysis.org/) by implementing several key new bioimage analysis components
  • BIC-HCS-SMLM: Jean-Baptiste Sibarita (Bordeaux Node), Technological transfer of a Single-Molecule-based High Content Screening platform to the Bordeaux Imaging Center
  • CloudFISH: Marcello Nollmann (Montpellier Node), A tool for the analysis of single-molecule RNA and DNA FISH images
  • MorphoNet: Emmanuel Faure (Montpellier Node), An interactive online morphological browser to explore complex multi-scale data
  • BioImageIT: Jean Salamero, Sylvain Prigent (IPDM Node), An open source framework for integration of image data management with analysis

Each selected project was awarded with a 80k€ grant for salary and/or equipment, and several positions are currently available: https://france-bioimaging.org/jobs/

This call will be renewed in 2023.

The France BioImaging Image Contest is back for its 3rd edition!

This image contest is open to all within the imaging community: core facility staff and users, R&D labs teams and co-workers, students… Submit your best microscopy images for a chance to showcase your skills, research and creativity to the French bioimaging community and beyond, allowing people to see the visual appeal of the life sciences. Images from the contest will be featured on France BioImaging communication tools, online and in print.

France BioImaging and all the French community aims to develop and promote innovative imaging technologies and methods. But microscopy images can also take an artistic, creative look and make the invisible world beautiful.

We are all eager to see your work !

Prizes

1 to 3 images will be awarded depending on the quantity and quality of the entries submitted. France BioImaging will cover the registration fees for one 2022 microscopy related event of the winners’ choice (FOM, ELMI, EMC, COMULIS conference, etc.).

Important: Only French or foreign participants affiliated to a French institution can enter the contest. Foreign participants non-affiliated to a French institution can submit images and will be featured in the gallery, but will not be evaluated as part of the contest.

Submission deadline: Friday, October 15th, 2021, 23h59 UTC+2. 

Click here to consult the terms and conditions of the contest. When you are ready, submit your entry by filling the form below. You can check out last editions’s entries for inspiration. One participant can submit several entries (up to 3).


This form is currently closed for submissions.