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 !
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.
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 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 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 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 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.
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 TinevezbioRxiv 2021.09.03.458852; doi: https://doi.org/10.1101/2021.09.03.458852
 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.
 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.
 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.
Abstract submission is open for the Neurophotonics II Conference that will take place at Photonics Europe on April 3-7, 2022, in Strasbourg, France.
Please note that the submissions made to your conference can be viewed via your SPIE account. Details on how to access this information are listed at the end of this e-mail.
This conference focuses on cutting edge research and techniques used to investigate the brain and nervous system. Multiscale imaging and manipulating the living and intact brain are becoming important topics in neurophotonics. In this context, it’s mandatory to provide new strategies for optical measurements of neural function and develop tools such as optogenetics to enables the control of cellular function with light. Also, in terms of imaging, furthermore it’s often important to image the samples from nanoscale to whole organism scales, bridging the gap between technologies.
The conference aims to bring together engineers, optical and medical scientists, biologists, chemists, neuroscientists and physicians, bringing together researchers working in all aspects of neurophotonics. It will also serve as a forum to discuss existing and emerging techniques.
Topics include but are not limited to:
hybrid and multimodal approaches to neuroimaging
optical hemodynamic imaging and neuro-vascular interactions
mesoscopic, microscopic, and endoscopic imaging of neural structure and function
tissue scattering, clearing and de-scattering
superresolution microscopy and nanoscopy of the nervous system
novel reporters and actuators, optogenetics, bioluminescence
data analysis, machine learning, and image processing
analyzing circuitry, network function, and information processing
optics and brain disease
light shaping in the brain, holography
dissemination and commercialization of BRAIN technologies
Le club des Infrastructures Nationales en Biologie et Santé (INBS) organise son premier symposium autour d’une thématique qui les concernent toutes, la vie des données qui sont générées en leur sein.
Ce symposium sur deux demi-journées aura de multiples objectifs:
Présentations des pratiques et développements en cours ou mis en place par les INBS ou des Infrastructures de Recherche d’autres disciplines autour des modalités de gestion de nos données (PGD de structure),
Pistes d’amélioration et de cohésion pour le futur, en ce qui concerne l’accès aux structures de stockage et de calcul scientifique,
Responsabilité morale et éthique vis-à-vis de ces données (FAIRisation, OpenScience éthique…) et leur valorisation,
Enfin, nous axerons aussi ce premier meeting sur les échanges d’expériences entre les INBS avec nos tutelles respectives.
Ce symposium est ouvert à tous. Il est cependant dédié en priorité à tous les personnels de nos communautés, c’est-à-dire à tous ceux qui participent à l’élaboration, la mise en œuvre des infrastructures nationales en Biologie-Santé et à l’accès aux prestations et services sur les différents sites qui les constituent.
La situation sanitaire évolue mais reste complexe. Le symposium se déroulera en mode hybride dans l’Amphithéâtre Durand, Espace Esclangon sur le campus de Jussieu (Sorbonne Université), et en fonction des jauges imposées (inscriptions d’un nombre limite de participants en présentiel (60 personnes) + inscriptions pour le distanciel).
L’inscription est gratuite mais obligatoire via le formulaire ci-dessous.
Date limite pour les inscriptions pour une participation en présentiel: 15/11/2021
Les inscriptions sont ouvertes!
The first practical workshop « Imaging Organoids: from the bench to the microscope » will take place in Bordeaux, from Mon 27th Sept to Fri 1st Oct 2021.
The aim of this workshop encompasses most of the workflow steps from the 3D-sample preparation (organoids, spheroids, encapsulated 3D cultures), how to process them (histology, staining), how to mount them (for upright, inverted etc…), and finally how to image them with various microscopy techniques (from super resolution microscopies -liveSR or STED- to microscopies dedicated to thick samples (two-photon, ultramicroscope), from fast optical scanning spinning-disk to High Content Screening -HiTech and LowTech-).
Each seminar will be preceded by a talk from our industry partners: Corning, StemCell, TreeFrog Therapeutics and Idylle. They will be accessible freely on a dedicated streaming platform, upon ad-hoc registration which will be set soon.
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
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
The 6th edition of Global BioImaging annual gathering will have the theme “Imaging Research Infrastructures in a time of change” and will take place on the 8th and 9th September 2021 as an online event.
Save the date! The European Research Infrastructure Euro BioImaging (EuBI) is organizing an online User Forum on “Understanding and Fighting Cancer”. The event takes place on June 17, 2021 from 14:00-17:00 CEST and will highlight the importance of cutting-edge imaging technologies in support of cancer research and showcase the specific expertise available at the EuBI Nodes.
In addition, keynote presentations from Kevin Brindle, University of Cambridge, and Frank Winkler, DKFZ, will further reveal the potential of biological and biomedical imaging technologies to boost cancer research.
The full program is coming soon! In the meantime, you can register here.
Quantifying translation in space and time during development
During development, precise control of gene expression allows the reproducible establishment of patterns, leading to the formation of organs at the right time and place.
The establishment of developmental patterns has been primarily studied at the transcriptional level. In comparison, the fate of these transcripts received little attention.
Dufourt*, Bellec* et al deployed the SunTag labeling method to image the dynamics of translation of individual mRNA molecules in living Drosophila embryos. This led to the discovery of translation factories and unmasked important heterogeneities in the efficiency of translation between identical mRNAs, demonstrating a novel layer of fine-tuning of gene expression.
Institut de Génétique Moléculaire de Montpellier (Univ.Montpellier/CNRS) 1919 route de Mende, 34090 Montpellier
On May 25th, 2021, 15:00 CSET, our partner the French Network for Multidimensional Optical Fluorescence Microscopy will receive Edward S. Boyden* from the MIT, USA for a webinar on Expansion Microscopy: “Tools for analyzing and repairing biological systems”.
This technology brings great expectations for the research teams and the private companies with which we work. Leica’s Cell DIVE technology provides an in-depth solution for characterizing the tissue microenvironment using multiplexed imaging technology. Up to 60 biomarkers can be revealed in one tissue sample. An extensive list of antibodies is already validated and users can customize their own panel! The multiplexed Cell DIVE technology is based on successive immunolabeling of 4 antibodies conjugated with 4 fluorochromes (Cy2, Cy3, Cy5 and Cy7). The slides are digitized (x20 objective) as things progress and a final compiled image is obtained and can be analysed with the Halo Image Analysis Platform. This software allows users to do segmentation to highlight clusters, to define specific cell phenotypes, to analyse neighbourhood, heatmap…
For example, in cancer treatment research, researchers need a better understanding of the cellular architecture of normal and diseased tissues to develop better treatments and more accurately predict disease progression.