
Spatial Biology 201: Getting Started with GeoMx® DSP
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Are you excited about spatial multiomics and ready to conduct your experiment but unsure how to start? Join us for this webinar to learn how to get started with the GeoMx Digital Spatial Profiler (DSP).
You’ll hear from NanoString Scientific Market Development Director Espy Anguiano, PhD, MS-MBA, on best practices for:
- Framing your spatial question
- Choosing a GeoMx assay
- Picking morphology markers
- Deciding on a region of interest (ROI) selection strategy
- Defining a data analysis plan
Plus, discover from GeoMx partner Azenta Life Sciences how to leverage their fast and high-quality GENEWIZ library preparation and next generation sequencing (NGS) services for RNA and protein analysis on the GeoMx DSP.
You don’t want to miss this!

Speakers

Espy Anguiano, PhD, MS-MBA
Scientific Market Development Director for Biopharma, NanoString
Dr. Espy Anguiano, Scientific Market Development Director at NanoString, obtained her PhD in Biomedical Science from Baylor University and holds a dual MBA degree from Temple University. She has over 20 years of experience in translational and clinical biomarker research in both academic and industry settings. Dr. Anguiano is a biomarker technology subject matter expert and has led biomarker and biomarker technology strategies for many early- and late-phase clinical trials in oncology and non-oncology disease areas. In her current role at NanoString, she is responsible for enabling the successful adoption of bulk and spatial technologies in research activities supporting drug discovery and development.

Aleksandar Janjic, PhD
Study Manager, Next Generation Sequencing, Azenta
Dr. Aleksandar Janjic has over 12 years of experience in molecular biology and possesses expertise in developing innovative genomic protocols and establishing and managing molecular biology laboratories across the globe. In his role at Azenta, Dr. Janjic supports researchers with project development, troubleshooting, and refinement. He earned his PhD at Ludwig Maximilian University of Munich, investigating the molecular dynamics of human speech evolution and optimizing and developing RNA-Seq and single-cell technologies.