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  • Home
  • Maximizing Value of Single Cell Sequencing Data from More Tissues
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Event

Maximizing Value of Single Cell Sequencing Data from More Tissues

Event SummarySpeakers
Event SummarySpeakers

March 13, 2024

University of Maryland - Institute for Bioscience and Biotechnology Research (IBBR)
9600 Gudelsky Drive Rockville, MD 20850

Revvity is proud to host this event in partnership with BioLegend, S2 Genomics, Parse Biosciences, LevitasBio, Complete Genomics, and Basepair.
 

Event Summary

The diversity of biological samples, cell types, and varying sample quality creates challenges for scientists leveraging single-cell sequencing to generate unbiased data and uncover true biological insights. The absence of a one-size-fits-all sample preparation method that delivers the best starting material for every sample type and assay means different approaches are needed.

To address these real-world challenges, this meeting brings together numerous leaders within the sample processing and single-cell characterization industry to provide guidance on navigating sample processing and analysis decisions and applying some of the best strategies and technologies for a variety of use-cases. From sample collection and preparation to single-cell sequencing and analysis, we’ll discuss current best practices and innovative solutions for sample preservation, tissue dissociation, sample cleanup, nuclei isolation, and cell type enrichment, characterization, sequencing, and user-friendly bioinformatics.

By applying these methods and tools, we aim to help you successfully analyze more tissues with single-cell sequencing and generate the highest quality data necessary for advancing human health.


Speakers

Scaling Your Single Cell Studies

Gokhan Demirkan, Product Marketing Manager, Parse Biosciences

Gokhan Demirkan, Product Marketing Manager, Parse Biosciences

TotalSeq Integrated End-to-End Solution for Single Cell Multiomic Analysis

Mireya Becerra-Diaz, Technical Applications Scientist, BioLegend

Mireya Becerra-Diaz, Technical Applications Scientist, BioLegend

Automated Tissue Dissociation for Single Cell Analyses

Nabiha Khan, Field Applications Scientist, S2 Genomics

Nabiha Khan, Field Applications Scientist, S2 Genomics

Levitation Technology Fuels and Improves the Single Cell Sequencing Experience

Katy Richards-Hrdlicka, PhD, Field Application Scientist, LevitasBio

Katy Richards-Hrdlicka, PhD, Field Application Scientist, LevitasBio

The Importance of Accurate Cell Analysis for Single Cell Applications

William A. Rogers, PhD, Sr. Field Application Specialist (FAS), Revvity

William A. Rogers, PhD, Sr. Field Application Specialist (FAS), Revvity

Expanding Multi-omic Applications with DNBSeq: a Cost-Effective, Flexible, and High-Quality Sequencing Technology

Joyee Yao, Technical Specialist, Complete Genomics

Joyee Yao, Technical Specialist, Complete Genomics

Democratizing NGS Analysis and Visualization

Sam Steffan, Director of Strategic Partnerships, Basepair

Sam Steffan, Director of Strategic Partnerships, Basepair

Single Cell Profiling from Difficult Sample Sources: Challenges and Opportunities

Mike Kelly, Ph.D., Scientist III, NCI Frederick National Laboratory for Cancer Research

Mike Kelly, Ph.D., Scientist III, NCI Frederick National Laboratory for Cancer Research

Underutilized Solutions for Single Cell Sequencing

Linda Orzolek, Senior Product Manager-Single Cell and Transcriptomics, Psomagen

Linda Orzolek, Senior Product Manager-Single Cell and Transcriptomics, Psomagen

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