September 18, 2017  |  Announcements, API, Education, Flow Cytometry, viSNE  |  By  |  0 Comments

Cytobank Webinar:
Create & Optimize Your Data Analysis Pipeline

In this field report, you’ll get a walkthrough of how a successful Mass Cytometry core facility applied Cytobank and data analysis best-practices to streamline and grow their operations.


Cytobank’s machine-learning algorithms enable faster, more comprehensive analysis of complex life science datasets for single cell and bulk data resolution. Making the leap from manual analysis to Machine Learning-assisted analysis may seem daunting, but it doesn’t have to be.

We’ll learn from guest presenter Dr. Vinko Tosevski, head of the Mass Cytometry Core Facility at The University of Zurich how he leveraged Cytobank in his operation to build an efficient data analysis pipeline.





We’ll start with an introduction to the Cytobank platform by Cytobank scientist Hannah Polikowsky. Then we’ll feature a detailed field report from Dr. Tosevski on how he applied Cytobank and open source tools (such as FlowSOM) to empower his researchers to explore their own data, improve collaboration and support, and grow his core operations to move forward faster.

Key Takeaways:

  • Learn from experts in the field how to establish a comprehensive Analysis Pipeline, including tools such as Cytobank viSNE (t-SNE) and CITRUS.
  • See real-life examples and best practices from a detailed field report by a cytometry core facility leader.
  • Learn how Cytobank’s flexible platform empowers you to customize your own analysis pipeline.

About the Presenters:

Hannahcircle Hannah Polikowsky
Cytobank’s Program Manager for Scientific Services
vinkocircle Dr. Vinko Tosevski, Head of the Mass Cytometry Facility
at The University of Zurich.