Co-Development.
Together.
As part of our DNA, we focus on building the microfluidic architecture and model best suited to your research needs. We take your needs and translate them into the most relevant and reproducible microfluidic devices and/or models for you.
• Co-development of new models
• Designing co-culture in existing NeuroFluidics Devices
• Adapted Protocols & Videos
• Pre-clinical to clinical partnerships
Co-Development details.
Co-development – FTE R&D.
Use our standard & industrialized NeuroFluidics devices to culture patient-derived cells, explore new readouts or injury.
• Select existing NeuroFluidics Devices
• Select your Cells
• For Select your Readouts & Injury
Pre-clinical to clinical partnerships.
Designed to accommodate cells from a diverse array of species, encompassing human, rodents, non-human primates, dogs, mini pigs, and more, whether they be primary or derived from iPSC for cross-species investigations.
• Gain translational confidence with predictive insights into clinical outcomes
• Development of a French cohort-on-chip offering to target specific genetic predispositions and ensure genetic variability representative of the human species
Benefits.
Multidisciniplary Team.
A shared mission: all patients must be able to benefit rapidly from personalized & accessible treatment.
• 12 PhD
• Biology Team
• Engineering Team
• Digital Team
Adapted Protocols
NETRI guides users with microfluidic devices or readouts, optimized culture protocols, and plate maps, with adapted operating protocols, in paper or video format.
• 7 cell culture & co-culture protocols of hiPSC & primary cells
• 2D & 3D cell culture protocols available for all our devices
• Specific readouts protocols & plate maps available for all our devices
Dedicated support
A dedicated service to quickly answer all your questions about using our NeuroFluidics Devices.
• Field Application Scientist
• Email address
• Phone number
• Shared space
High-Throughput Format
NeoBento™, the standard format for NeuroPlatforms chips, available up to 4 QuarterBentos™ (up to 16 chips).
• Standard ANSI format (96-well plate)
• Pump-free & expensive equipment-free
• Standard equipment (liquid handling & imaging) compatibility
• Imaging, biochimic analysis and electrophysiological recording (MEA) readouts
Our Offers.
Licensing Programs.
• Food Safety
• Pain
• Dermatology
• Neurological Troubles
Organs-on-chip Kits.
• NeuroFluidics Devices
• NeuroFluidics Kits
• NeuroFluidics Digital
• MultiFluidics
Related Resources.
Parvatam, S., Pamies, D., Pistollato, F., Beken, S., Mariappan, I., Roth, A., … & Coecke, S. (2023). Taking the leap toward human-specific nonanimal methodologies: The need for harmonizing global policies for microphysiological systems. Stem Cell Reports. https://doi.org/10.1016/j.stemcr.2023.11.008
Gabriel-Segard, T.; Rontard, J.; Miny, L.; Dubuisson, L.; Batut, A.; Debis, D.; Gleyzes, M.; François, F.; Larramendy, F.; Soriano, A.; et al. (2023). Proof-of-Concept Human Organ-on-Chip Study: First Step of Platform to Assess Neuro-Immunological Communication Involved in Inflammatory Bowel Diseases. Int. J. Mol. Sci., 24, 10568. https://doi.org/10.3390/ ijms241310568
Rontard J, Maisonneuve BGC, Honegger T. (2023). Expanding human-based predictive models capabilities using organs-on-chip: A standardized framework to transfer and co-culture human iPSCs into microfluidic devices. Arch Pharm Pharma Sci. ; 7: 017-021. https://doi.org/10.29328/journal.apps.1001039
Castiglione, H., Vigneron, P. A., Baquerre, C., Yates, F., Rontard, J., & Honegger, T. (2022). Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical Applications. Pharmaceutics, 14(11), 2301. https://doi.org/10.3390/pharmaceutics14112301
Maisonneuve, B. G. C., Libralesso, L., Miny, L., Batut, A., Rontard, J., Gleyzes, M., … & Honegger, T. (2022). Deposition chamber technology as building blocks for a standardized brain-on-chip framework. Microsystems & Nanoengineering, 8(1), 86. https://doi.org/10.1038/s41378-022-00406-x
Miny, L., Maisonneuve, B. G., Quadrio, I., & Honegger, T. (2022). Modeling neurodegenerative diseases using in vitro compartmentalized microfluidic devices. Frontiers in Bioengineering and Biotechnology, 10, 919646. https://doi.org/10.3389/fbioe.2022.919646
Guichard, A., Remoué, N., & Honegger, T. (2022). In vitro sensitive skin models: review of the standard methods and introduction to a new disruptive technology. Cosmetics, 9(4), 67. https://doi.org/10.3390/cosmetics9040067
Fuchs, Q., Batut, A., Gleyzes, M., Rontard, J., Miny, L., Libralato, M., Vieira, J., Debis, D., Larramendy, F., Honegger, T., Messe, M., Pierrevelcin, M., Lhermitte, B., Dontenwill, M., Entz-Werlé, N. (2021). Co-culture of Glutamatergic Neurons and Pediatric High-Grade Glioma Cells Into Microfluidic Devices to Assess Electrical Interactions. J. Vis. Exp. (177), e62748, https://doi.org/10.3791/62748
Maisonneuve, B. G. C., Vieira, J., Larramendy, F., & Honegger, T. (2021). Microchannel patterning strategies for in vitro structural connectivity modulation of neural networks. BioRxiv, 2021-03. https://doi.org/10.1101/2021.03.05.434080
Honegger, T., Scott, M. A., Yanik, M. F., & Voldman, J. (2013). Electrokinetic confinement of axonal growth for dynamically configurable neural networks. Lab on a Chip, 13(4), 589-598. https://doi.org/10.1039/C2LC41000A
Honegger, T., Thielen, M. I., Feizi, S., Sanjana, N. E., & Voldman, J. (2016). Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks. Scientific reports, 6(1), 28384. https://doi.org/10.1038/srep28384
Maisonneuve, B. G. C., Batut, A., Varela, C., Vieira, J., Gleyzes, M., Rontard, J., … & Honegger, T. (2021). Neurite growth kinetics regulation through hydrostatic pressure in a novel triangle-shaped neurofluidic system. bioRxiv, 2021-03. https://doi.org/10.1101/2021.03.23.436675
Fantuzzo, J., Robles, D., Mirabella, V., Hart, R., Pang, Z., Zahn, J. (2020). Development of a high-throughput arrayed neural circuitry platform using human induced neurons for drug screening applications. Lab on a Chip, 2020-02. https://doi.org/10.1039/c9lc01179j
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