About this event
Planning single-cell experiments can be a tall order. Join Hélène Eckert, Senior R&D Leader, and Barbara André, Director of Bioinformatics, in this webinar to learn how the RevGel-seq™ technology can help you confidently design flexible, convenient, and efficient end-to-end single-cell RNA-seq studies.
During this seminar will be discussed:
- Scipio bioscience's technical concept behind the instrument-free technology RevGel-seq™
- Asteria™ scRNA-seq benchtop kit's flexibility to ease single-cell logistics
- Asteria™ kit's performances on various cell types
- The accessibility of the companion data analysis software Cytonaut™ to all researchers
Following the presentation, feel free to send your single-cell related questions to: info@scipio.bio. Our team will answer them very quickly.
Register now to learn more!
Hosted by
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Team member
Wilko Duprez Head of Communications @ Scipio bioscienceT
With a PhD in medicinal biochemistry and research experience in France, Australia & the USA, Wilko Duprez worked as a scientific journalist and director in the UK, Japan and Denmark before joining Scipio bioscience as Head of Communications.
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Guest speaker
Nicolas Fernandez Senior R&D Manager @ Scipio bioscienceG
Nicolas has 10+ years of experience in soft matter physics and led the development of several DNA analysis consumables. Ecole Polytechnique and Ecole des Ponts alumnus, he received his PhD on suspension rheology from ETH Zürich (Switzerland).
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Guest speaker
Barbara André Bioinformatics Director @ Scipio bioscienceG
Barbara André has 10+ years of experience in software R&D for biomedical applications. With an engineering background in computer science and applied mathematics, she received her PhD in medical image computing from Mines Paris Tech. She contributed to innovative prototypes and led the development of sustainable software products for the industry, especially in the domain of genetic analysis.
Scipio bioscience
Scipio bioscience provides single-cell solutions to every lab researcher to advance knowledge and improve human health. Easy to use, instrument-free and flexible, to generate your single-cell datasets.
