Featured
Aug
4
Self-Driving Labs Are Rewriting the Clock on Discovery
North Carolina State University Now Runs the Largest Academic Self-Driving Lab Ecosystem in the US.
The Screening Of Cell Wall Polysaccharides Composition And Structure In Plant Collections
December 15, 2017
December 2017 - French National Institute for Agricultural Research, BIBS Platform
The French National Institute for Agricultural Research (INRA) is celebrating its 5th successful year of automating demanding sample preparation/derivatization with Chemspeed technology!
INRA is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Its scientists are working towards solutions for society’s major challenges. The Biopolymères, Biologie Structurale (BIBS platform) - of INRA, Nantes, France is part of Biopolymers Interactions Assemblies (BIA) of the characterization and development of agricultural products (CEPIA).
BIBS has been certified ISO 9001 and is recognized as a strategic platform of INRA. The Chemspeed’s SWING system is at the heart of the BIBS platform and is being used for the automation of demanding sample preparation/derivatization workflow campaigns for screening structural properties of agricultural derived biopolymers.
Research Engineer of INRA states, “The Chemspeed system allows us to perform more sample preparation screening campaigns while freeing up our staff from very constraining and repetitive manipulations that require the use of highly toxic chemicals. In addition, the system eliminates analyst to analyst variation and performs highly complex chemical synthesis-like sample preparations that only highly trained staff can manage.”
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Featured
Jul
14
High-throughput solid microsampling through stochastic robotic automation
Solid sampling at the sub-milligram and milligram scale remains a major bottleneck for high-throughput chemistry or material sciences, as existing approaches rely on manual handling or slow deterministic microsampling that do not readily scale.
Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram masses.
Jun
30
Parameter efficient multi-model vision assistant for polymer solvation behaviour inference
Polymer–solvent systems exhibit complex solvation behaviours encompassing a diverse range of phenomena, including swelling, gelation, and dispersion. Accurate interpretation is often hindered by subjectivity, particularly in manual rapid screening assessments. While computer vision models hold significant promise to replace the reliance on human evaluation for inference, their adoption is limited by the lack of domain-specific datasets tailored, in our case, to polymer–solvent systems.
Chemspeed is a global team committed to enable automated and digitalized workflows for scientists in R&D and QC.
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