Jack Panopoulos, PhD, Application Scientist, FlowJo LLC
“Stop wading through the data quagmire: How to simplify, identify and
collaborate critical insights from complex single cell data”.
New developments in high parameter cytometry and single cell sequencing continue to challenge traditional methods of data analysis. Sophisticated and intuitive tools for data reduction, population identification, clustering and gene expression analysis are required to identify phenotypes driving health and disease. In addition to analysis hurdles, storage and tracking of data, derivatives and workflows, has become an entangled mess hampering reproducibility, publication, and collaboration. In this session, you will:
- Learn how to use FlowJo’s new discovery tools to tackle high parameter flow- or mass- cytometry data.
- Demolish the bioinformatics roadblocks to single cell sequencing analysis using SeqGeq.
- Learn how to share, track, and reproduce your results with your collaborators using FlowJo Envoy.
Ramiro Diz, PhD, Product Specialist, Flow Cytometry, Thermo Fisher
“Taking Your Flow Cytometry to the Next Level – Best Practices and Pitfalls to Avoid”
Flow cytometry has become a powerful tool for biological research, capable of generating volumes of valuable data when employed correctly or mountains of misleading data if potential pitfalls aren’t avoided. With the emergence of next-generation fluorochromes, thousands of new antibodies, a diverse array fluorescent proteins, phospho-protein detection, and now assays for RNA expression, flow cytometry is rapidly being adopted by almost every major discipline in the biological sciences. Improvements in software and hardware design have also made flow cytometry more user-friendly and enabled adoption beyond the traditional core of immunological researchers. Although we are equipped with better tools than ever before to do flow cytometry, it can still be a complex technique. In this seminar, using experimental data as examples when possible, we will discuss some essential best practices, how to avoid some common mistakes, and other important considerations needed to fully utilize the power of flow cytometry.
Matthew A. Rodrigues, PhD, Research Scientist
|Tim Chang, PhD, Applications Scientist||
Ben Alderete, Imaging Specialist
All from Amnis, part of MilliporeSigma
“Amnis Imaging Flow Cytometry: High-Content Imaging AND Flow Cytometry from One Platform Creating New Efficiencies and Unique High Value, Single Cell Assays”
High color, high throughput flow cytometry has increasingly provided efficient single cell, multi-marker analyses essential to inform biology and medical discovery. Similarly, high resolution imaging with high content analysis has created another vastly increasing knowledge base of spatial biology at sub-micron resolution further enhancing our ability to relate biological phenomenon. Amnis Imaging Flow Cytometry combines these two techniques: Flow Cytometry achieving high event rates flowing objects with single cell discrimination of multiple biomarkers AND High resolution imaging of multiple spectral images and imaging modes. Attendees will learn the bio-engineering elements and techniques that create Amins imaging flow cytometers, learn about the vast and unique single cell assays made efficient and credible by this system and software. Attendees will also participate in a thought experiment to conceive, design a cell based assay for imaging flow cytometry with high value and use Amnis IDEAS software to learn with real data sets and execute image analysis of tens of thousands of images using our image analysis algorithms and achieve an elegant flow and image based analyses sets.