See what machine learning can do for nano and biomaterial characterizations
Not all nano and biomaterials are perfect, many are intricate and heterogeneous in nature and design.
Since analytical scientists often encounter unanswered questions using conventional tools, the demand for biotherapeutics and nanomedicines grows. These gaps in knowledge lead to delays and resource consumption: enter machine learning and nanoparticle tracking analysis (NTA).
In this webinar, Agnieszka Siupa, Robert Taylor, and Ben Mayall, from Malvern Panalytical will present the NanoSight Pro, a simple and rapid NTA solution for nano- and biomaterial characterization. Powered by machine learning, NS Xplorer software enables automated measurements, removes subjectivity, and provides the highest quality size and concentration data for both, light scatter and fluorescence analysis.
Key learning objectives
- Explore the power of machine learning for nano- and biomaterial characterization
- Learn more about nanoparticle tracking analysis (NTA)
- Discover how smart installations and digital solutions can accelerate your science workflow
Who should attend?
- Anyone interested in harnessing the power of machine learning for nano- and biomaterial characterization
Certificate of attendance
All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
Speakers
