FREE WEBINAR: Temporal Single-Cell Omics in Cancer Research - Unlock Insights with Intuitive Omics Analysis & LiveSeq for Dynamic Single-Cell Profiling
- Stephanie Schulze
- Mar 3
- 1 min read
Updated: May 13
Join the next upcoming webinar of our series "LAN Technology Selection" on Wednesday, 26 March 2025 at 3 pm CET | 10 am EDT | 7 am PDT
What if you could track single-cell transcriptomic changes over time without killing a cell?
And what if you could analyze complex omics data effortlessly—without coding experience?
Join us to explore practical solutions that make single-cell omics analysis faster, easier, and more insightful than ever before.
About the Webinar:
Understanding cancer at the single-cell level is crucial for uncovering new treatment pathways. Yet, complex data analysis and disruptive sampling methods often slow down progress. This webinar introduces two groundbreaking solutions:
Visual Omics Analysis for Non-Data Scientists: Qlucore’s solutions enable researchers to turn biological datasets into actionable research and clinical insights without coding expertise. Experience how easy it is to visualize and analyze single-cell and bulk RNA sequencing data.
Live Seq - Temporal Single-Cell Profiling with FluidFM: Cytosurge’s Fluidic Force Microscopy (FluidFM) uses a force-controlled cantilever with a microfluidic channel to extract cytoplasmic biopsies from living cells while preserving viability. Removing about 50% of a cell’s cytoplasm non-destructively, it enables library preparation and sequencing. This method allows researchers to track transcriptomic changes over time, study survival after treatment, and analyze gene expression with high sensitivity and minimal disruption.
Speakers:
Tamás Gerecsei, Expert of the FluidFM Technology, Cytosurge
Anders Johansson, Specialist in Omics Data Analysis, Qlucore
Martin Winter, Laboratory Automation & Digitization Expert, Lab Automation Network
Agenda:
How to identify and evaluate feasible technologies for a special laboratory application
Understanding FluidFM
Case Studies & Applications
Visual Omics Analysis for Non-Data Scientists
Q&A Session - Ask the expert
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