This is to acknowledge that Giuseppe Cotellessa Attended a one-hour webinar and Q&A session entitled "See what machine learning can do for nano and biomaterial characterizations" / Questo per riconoscimento Giuseppe Cotellessa Ha partecipato ad un webinar di un'ora ed ad una sessione di domande e risposte dal titolo "Scopri cosa può fare l'apprendimento automatico per le caratterizzazioni di nano e biomateriali" #30/11/2023
This is to acknowledge that
"See what machine learning can do for nano and biomaterial characterizations" /
Questo per riconoscimento
Giuseppe Cotellessa
Ha partecipato ad un webinar di un'ora ed ad una sessione di domande e risposte dal titolo
"Scopri cosa può fare l'apprendimento automatico per le caratterizzazioni di nano e biomateriali" #30/11/2023
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
Information
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.
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