What is Subpopulation Analysis
Subpopulation Analysis refers to the ability to detect and distinguish distinct groups of particles within a complex mixture based on their unique physical or biological properties. By analyzing subpopulations based on optical properties, researchers can detect variations in size, charge, or composition. Fluorescence-based labeling further enhances specificity, enabling the identification of target particles within complex samples. This approach allows for precise differentiation between biomarker-positive particles and the total particle population, providing deeper insights into sample composition.
This level of detail is essential for studying complex samples containing biologically relevant particles like extracellular vesicles (EVs), therapeutic nanoparticles, or environmental particles. Identifying subpopulations helps researchers optimize isolation procedures, improve formulations, and ensure product consistency at a granular level. Key Attributes of Subpopulation Analysis:
Heterogeneity Detection: Distinguish subgroups of particles within complex samples, revealing size, charge, or fluorescence variations.
Advanced Characterization: Provides high-resolution data to uncover meaningful differences in particle properties.
Versatility Across Applications: Applicable to biological, synthetic, and environmental samples
