See our upcoming and past events.
Webinars, talks, and podcasts from the Ozette team on spectral cytometry, computational gating, and biomarker discovery.

Live Webinar: Adaptive Computational Gating
A live webinar where we walk through a real cytometry dataset to show how Ozette's analytics platform adapts to biological and technical variation automatically via computational gating.
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Separating Signals from Noise: Positivity Scoring in Ozette Resolve
A webinar showcasing Positivity Score, a new quantitative metric in Resolve that evaluates whether an unmixed signal represents true positivity above background on a per-event, per-fluor basis — helping you move forward with greater confidence.
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Tools of the Trade Podcast
Ozette's Greg Finak and Corrie Ortega joined David Leclerc and Daniel Vocelle to discuss how Ozette can support the research efforts of core facilities through Discovery, Endpoints, and Ozette's newest offering, Resolve.
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Validating Mechanism of Action & Cellular Biomarkers
A webinar showcasing Ozette Discovery, our flagship data exploration and biomarker discovery solution, enabling scientists to rapidly draw insights from flow cytometry data backed by real-time analysis.
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Unmixing without Compromise: An Introduction to Ozette Resolve
A detailed look at Resolve, Ozette's advanced spectral unmixing solution that delivers uncompromised data quality for flow cytometry and confidence in every file you process.
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Spectral Unmixing Reimagined
An exclusive look at how Ozette's platform solves the core challenges of spectral cytometry — starting with better unmixing: cleaner data, easier analysis, faster insights with Ozette Resolve.
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Accelerate Your Science
An in-depth look at how you can pair Ozette's spectral cytometry services with computational analysis to drive therapeutic development.
Register / view →Good Things Come to Those Who Integrate
Combining domain expertise and machine learning to generate high-quality insights from cytometry data.
View recording →Talk with an Ozette scientist.
See what unbiased, reproducible cytometry analysis looks like on your own data.