Count Cells Without Slides: Automating and Optimizing Cell Counting
Standardizing Tissue Culture, Primary Cells, Nuclei, and 3D Culture Counting Without the Cost of Consumables
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This webinar will be held twice on Wednesday, June 17th. Both sessions will cover the same content.
About the Event
If you are still relying on subjective manual counts, struggling to count primary cells, or dealing with the inflating costs of disposable plastic slides, the CellDrop Automated Cell Counter is the perfect fit for your lab.
Join our live webinar and demo to explore the core principles of dual-channel fluorescence vs. brightfield imaging. DeNovix Application Scientist Corey Pezak will demonstrate our slide-free solution that streamlines daily tissue culture cells and handles difficult primary cells with ease.
Attendees will also get a first-hand look at the latest developments in cell counting software—specialized machine learning apps designed to automate the recognition of highly irregular, complex structures like organoids and hepatocytes.
Turn your cell counting sample preparation into a fast, standardized, and eco-friendly process. Plus, stay until the end of our webinar for a chance to win one of ten free pizzas for your lab!*
About the Speaker
- Corey Pezak, DeNovix Application Scientist
- Master’s Degree from Villanova University in Biological Sciences with a focus in Molecular Genetics and Immunology
- Works daily with customers to support application and free trial questions
Who Should Attend?
- Cell Culture Researchers or Facility Managers
- Immunology Researchers and Those Working with Primary Cells
- 3D Biology / Organoid Researchers
- Researchers or Managers Interested in Improving Sustainability in Laboratories
*How Do I Win a Free Pizza for My Lab? 🍕
We’ll be drawing 5 winners at the end of each webinar session. To be eligible for the drawing, attendees must participate in all live webinar polls and be able to accept a $20 gift card.
CellDrop Automated Cell Counter
Count Cells Without Slides and standardize your cell counts.
