Automated Hepatocyte Counting: New Technology for Simple, Reliable Counts
Broadcast date: November 20, 2024On-demand
Dan Schieffer
Dan joined NanoDrop Technologies Inc. in 2006 while completing his BS in Biotechnology at University of Delaware. After contributing to the development of the NanoDrop 8000 and the NanoDrop 2000, Dan accepted a teaching and research assistantship at Villanova University. At Villanova he helped develop a novel flow cytometry-based FRET system to elucidate the role of cell membrane organization in CD4+ T Cell activation. Dan then moved into a research assistantship role at the University of Pennsylvania, where he performed high throughput genetic screens to discover novel immune system pathways that regulate pathogenesis in insect-borne viruses. Dan joined DeNovix in 2013. He has an MS in Immunology from Villanova University.
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Discover how the CellDrop Automated Cell Counter and Hepatocyte App use cutting-edge machine learning to simplify hepatocyte counting, save time, and deliver consistent, reliable results.
In this webinar, you will learn:
• How you can achieve automated hepatocyte counts;
• About machine learning techniques developed to automate hepatocyte counting;
• How this technology can speed up and optimize your research.
Automated counting of hepatocytes is notoriously challenging due to their irregular shapes, variable nuclei number, autofluorescence, and often high amounts of debris in samples.
However, with the latest developments in cell-counting hardware and app technology, automated counting of these challenging cells is simpler than ever.
In this webinar, see how you can achieve reliable automated hepatocyte counts with the CellDrop Automated Cell Counter combined with the Hepatocyte app.
You will learn how the machine learning technology integrated into the app can save time, reduce human error, and provide consistent results.
Plus, you will get an opportunity to put your questions to application scientists from DeNovix in a live Q&A session.
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