Recently at the Biomedical Engineering Society Meeting, Ross Marklein from the FDA’s Center for Biologics Evaluation and Research (CBER), presented a poster using viSNE in Cytobank on single-cell image data to characterize the function of mesenchymal stem cells (MSCs) used for cell therapy in autoimmune disease.
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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.
As scientists we often want to understand the heterogeneity in a group of samples across multiple biomarkers, whether those are cell populations and their functional protein expression or RNA transcripts. With Cytobank’s upcoming DROP feature, you can build your understanding of this sample heterogeneity using many new data types! More »
We recently hosted a very popular webinar, “Placing viSNE in Your Toolbox” featuring special guest Dr. Anna Belkina of Boston University School of Medicine. More than 500 investigators registered for our event to learn about cutting-edge tools and techniques for optimizing results from high-dimensional cytometry datasets.
Missed our latest viSNE presentation?
View the webinar recording here:
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LAST CALL: Register for Our viSNE Webinar Feb 15.
Only hours remain to register for our next viSNE webinar. Join us Wednesday, February 15th at 9AM PST for:
Learn more about how Cytobank’s new advanced viSNE (t-SNE) settings automate and improve analysis of large cytometry datasets with precision. More »
Guest Blog by Tyler Burns
Tyler Burns is a Cancer Biology Ph.D Candidate in Dr. Garry Nolan’s lab at Stanford and a consultant for Cytobank. Tyler’s work in the Nolan lab is focused on developing novel computational methods for high-parameter single cell analysis.
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et Bigger, Better Insights in the Cloud with Our New Enhancements to viSNE.
Take advantage of the scalable compute available in the cloud with our latest enhancements to viSNE. Now Cytobank’s cloud-hosted platform can run up to 20x more events than other locally-run solutions. Fully optimize the resolution of your results by fine-tuning Iterations, Perplexity, and Theta. More »