The ONI platform for extracellular vesicles provides researchers with advanced tools for the visualization, quantification, and characterization of EVs at the single-particle level. By combining super-resolution microscopy with automated image analysis, the system enables detailed study of EV size, concentration, molecular composition, and spatial distribution in complex biological samples. The platform supports multiplexed fluorescence labeling, allowing simultaneous detection of multiple EV markers, and offers robust workflows for sample preparation, imaging, and data interpretation. This integrated approach facilitates reproducible and quantitative EV research, supporting applications in biomarker discovery, disease diagnostics, and therapeutic development.

Key Features

Super-Resolution Imaging Enables visualization of EVs below the diffraction limit of conventional light microscopy.

• Detects and distinguishes individual EVs in heterogeneous samples.
• Reveals nanoscale structural details.

Automated Quantification and Analysis Provides software tools for counting, sizing, and phenotyping EVs.

• Quantifies EV concentration and size distribution.
• Identifies co-localization of multiple markers.

Multiplexed Fluorescence Detection Supports simultaneous labeling of different EV surface and cargo markers.

• Enables multi-parameter analysis of EV populations.
• Facilitates biomarker discovery.

Standardized Workflows Offers protocols for sample preparation, imaging, and data analysis.

• Ensures reproducibility and comparability across experiments.
• Reduces user variability.

Benefits

Enhanced Research Accuracy Delivers precise, quantitative data on EV characteristics.

• Improves reliability of EV-based biomarker studies.
• Reduces false positives from non-EV particles.

Accelerated Discovery and Development Streamlines EV research from sample to result.

• Supports rapid screening of clinical and experimental samples.
• Facilitates translational research in diagnostics and therapeutics.

Comprehensive EV Characterization Enables detailed profiling of EV populations in complex samples.

• Supports studies on EV heterogeneity and function.
• Aids in understanding EV roles in health and disease.