Beyond conventional: Using advanced spectral instrumentation solutions to expand single cell and population analysis

As the fields of flow cytometry and spatial biology advance, researchers are uncovering exciting applications for the expanding data from their samples. Innovative reagents, fluidic and optical engineering, and advanced detection technologies significantly boost data speed, accuracy, and depth. Challenges persist, particularly in analyzing rare, clog-prone samples and deconvoluting fluorophore signals. This seminar will showcase data from two new spectral platforms and offer tips for maximizing their capabilities in advanced immunology and oncology workflows.

 

The spectral-enabled Invitrogen™ Attune™ Xenith™ Flow Cytometer, with acoustic focusing technology, advanced fluidics sensing, and UV to NIR detection, supports panels of up to 52 colors – enabling deeper insights into even highly concentrated, high aggregate samples. Its software facilitates switching between conventional compensation and spectral unmixing, offering spillover guidance for each workflow. The Invitrogen™ EVOS™ S1000 Spatial Imaging System streamlines whole slide tissue imaging, enabling rapid 9-plex detection by means of integrated spectral unmixing.

 

We will address challenges in difficult sample types and offer solutions for overcoming common hurdles, in addition to these learning objectives: .

 

• Understand how acoustic focusing enhances flow cytometry by improving precision, throughput, and data quality—especially in high-speed, high-parameter experiments.
• Learn how a clog-resistant fluidic design streamlines workflows and minimizes acquisition failures, reducing downtime and improving consistency across runs.
• Gain practical strategies for optimizing spectral workflows, including how to expand panel complexity, reduce spectral overlap, and improve data resolution through smart fluorophore selection and sample prep.

Who should Attend:

• Immunologists working on cell sorting, immune profiling, and flow cytometry
• Oncologists focusing on cancer research and tumor immunology • Neuroscientists advancing brain spatial analysis and multiplex imaging techniques
• Core lab researchers looking to enhance their workflows with advanced technologies
• Anyone interested in pushing the boundaries of cellular analysis with spectral capabilities