March 20, 2015  |  User Stories  |  By  |  0 Comments

User Stories: Claude Chew and his experience with Cytobank 4.2 release

Welcome to Cytobank User Stories, a series featuring interviews with Cytobank users on their research, scientific vision, and use of fluorescence and mass cytometry.

This week we interview Claude Chew, a Flow Cytometry Specialist Senior at University of Virginia in
Charlottesville, VA.  We asked Claude to share with us his favorite features from our 4.2 release and to describe how this release has helped to improve his scientific workflow.

What are you excited about in science? What is your scientific vision?
Claude Chew

Claude Chew
Flow Cytometry Specialist Senior at University of Virginia

My vision is to try to bring together the technical aspects of flow/mass cytometry with biology. My experience is that there is often a disconnect between the two. Hopefully there is a way to more fully integrate these aspects to make a fully-functioning unit that will be a powerful tool for looking into how life works at the single cell level! I’m particularly excited about recent developments in the field of high-dimensional analysis with the advent of the CyTOF and the data analysis platforms that have and continue to be generated to meet the challenge of ‘big data’.

What do you study?
As a core facility staff member, I have the opportunity to participate in general core activities such as instrument and data analysis assistance and training, advising users on experimental design, FACS for functional and genomic analyses of specific cell populations, instrument maintenance etc. However, I also have had the opportunity to be involved in our users’ research projects, particularly our CyTOF experiments. We have looked at different disease states and are trying to discern the heterogeneity and “symphonic” nature of up and down regulation of marker expression.
What’s your favorite thing about Cytobank?
My favorite thing about Cytobank is the ability to interrogate data in a wide variety of ways. It gives users a convenient, sharable location and toolset to visualize and manipulate data, particularly with the integration of viSNE and SPADE for high-dimensional data.
What feature in the 4.2 release did you enjoy the most? How will you use this to improve your analysis moving forward in your research?
My favorite feature was the ability to overlay dot plots. This will make analysis and comparison of viSNE maps between samples much easier to inspect for novel or previously unappreciated cell populations.

 

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