Maximizing Sensitivity, Removing Subjectivity – Highlights of ID7000 Spectral Cell Analyzer Software Functions
As spectral flow cytometry gains widespread adoption, users have been looking for ways to minimize subjectivity and ensure data is reliable and reproducible.
With the transition from conventional systems and subjective compensation methods to spectral data and unmixing, availability of simple workflows built into the cytometer system software is crucial for generating high-quality, reproducible data.
Join our webinar as we highlight how this is addressed in the ID7000 system. We will also delve into common questions and showcase how the ID7000 software can identify and rectify common errors.
Some functionalities that will be covered are the Spectral Reference Adjuster and Autofluorescence Subtraction, which help users have confidence in their experimental results and leave the days of guesswork behind.
Key Learning Objectives:
- Review Spectral unmixing and troubleshooting common errors
- Best practices for using the Spectral Reference Adjuster
- Explore the Autofluorescence Subtraction feature for enhanced data resolution
Who should attend
This webinar is ideal for researchers adopting spectral technology and recommended for researchers who have access to an ID7000 Spectral Cell Analyzer. Don’t miss out on optimizing your spectral analysis proficiency!
Speaker
Vendula Sinkorova
Field Application Scientist Coordinator
Sony Biotechnology
Vendula has been using flow cytometry for over 10 years in various roles and environments. She started as a flow cytometer operator in an academic laboratory, supporting students and staff with their flow cytometry experiments, while using the technology for immunology research. Later, Vendula moved to the commercial sector as a Product Specialist, concentrating on flow cytometry data analysis. Subsequently, she joined the Sony Europe team over four years ago as a Field Application Scientist and provides support to users in Northern Europe for Sony spectral analyzers and cell sorters.