The Power of Autofluorescence Extraction Using Full Spectrum Profiling™

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Labroots

Labroots

Күн бұрын

Presented By:
Diana Bonilla Escobar
Speaker Biography:
Diana is an Immunologist, with a Ph.D. from Texas A&M University, a postdoctoral degree from Baylor College of Medicine and an ASCP-accreditation as a cytometry specialist. She has more than 20 years of experience as a biomedical scientist for a variety of applications, including infectious diseases and cancer at MD Anderson Cancer Center. She was one of the ISAC SRL emerging leaders and is highly involved in education with cytometry societies such as ISAC, FlowTex and LatinFlow. She currently works as the US Technical Lead for application support at Cytek Biosciences.
Webinar:
The Power of Autofluorescence Extraction Using Full Spectrum Profiling™
Webinar Abstract:
The intrinsic emission of light by biological structures in cells, known as autofluorescence (AF), has been a problem in flow cytometry data resolution for years. Cells with a high level of AF can interfere with a flow cytometer's ability to detect specific fluorescent signals; this is especially true when quantifying rare markers or dim fluorochromes.
On a conventional flow cytometer, researchers might be forced to use dyes emitting in spectral regions not affected by AF. But with Full Spectrum Profiling™ (FSP™) as found on the Cytek® Aurora, Northern Lights, and Aurora CS, investigators can fully understand AF, extract the AF signal, and ultimately improve their data resolution.
We will explore different examples of samples with high levels of AF that benefit from Cytek's FSP technology. By fully characterizing and subsequently extracting the AF signature across the entire spectrum, we will show how the resolution of dim markers is improved, sometimes even revealing populations previously masked by cellular AF.
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Пікірлер: 2
@qiuyiling
@qiuyiling 2 жыл бұрын
Very useful! I am glad it has been uploaded to youtube so quickly
@FullmoonFang
@FullmoonFang 2 жыл бұрын
How can we add a new AF Tag to our experiment, like in the HighSSC-HiV15 case shown?
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