Tutorial 1 – Hands on data analysis by Beckman Coulter

Tuesday, 09.09.2025, 12:00 pm – 2:30 pm

Hypothesis-Driven Flow Cytometry Analysis with Cytobank’s Machine Learning Tools: From Conventional to Spectral Workflows

Good science is all about confirming or busting hypotheses, examining assumptions under different circumstances. Hypothesis-driven flow cytometry typically involves building gates step by step. A slow, manual process could introduce variability and limit scalability.
The Cytobank platform, empowered by machine learning-assisted analysis, enables automatic gating and makes flow data analysis faster, more consistent, and more objective.
In this hands-on workshop, we’ll walk through two analysis workflows using Cytobank:

• A guided analysis of conventional flow cytometry data, combining manual and automatic gating.
• A discovery-driven workflow with spectral flow cytometry data, leveraging dimensionality reduction and clustering for unsupervised exploration.

Whether you’re working with conventional or spectral data, see how Cytobank can unlock deeper insights and elevate your data analysis workflow. Join us and discover the full potential of machine learning in flow cytometry..