ONI Revolutionizes Extracellular Vesicle Research With Comprehensive New Solution

ONI Inc., a pioneer in bringing super-resolution microscopes directly to laboratory benches, has recently unveiled its latest innovation aimed at revolutionizing the study of extracellular vesicles (EVs). The company introduced the ONI Application Kit™: EV Profiler 2 alongside the AutoEV analysis software, marking a significant leap in the precise identification and characterization of EVs at an unprecedented single vesicle level.

The newly launched products promise to halve the time researchers spend obtaining results by offering an EV-optimized super-resolution imaging acquisition and analysis workflow accessible to all. In an effort to streamline EV research further, ONI has also launched Aplo Flow, an automated sample preparation platform tailored specifically for use with EV Profiler 2. This platform boasts an 85% reduction in hands-on time for researchers, simplifying the process significantly.

EV Profiler 2 allows for flexible capture and detection strategies, enabling robust characterization of up to 12 samples in three colors. Researchers are only required to provide purified EV samples and, if desired, primary antibodies for their biomarker of interest. "With EV Profiler 2, we introduce our new pan-EV reagent to enhance confidence in EV identification and internal cargo detection, allowing scientists to visualize proteins with super-resolution," stated James Rhodes, Bioware Product Manager at ONI.

The Aplo Flow system automates fluidic control, optimizing it for ONI's Application Kits™. This innovation allows researchers to select their capture and detection strategy and then lets Aplo Flow handle the rest. Salvatore Fanale, ONI’s Hardware Product Manager, reflected on the significance of automation in research, noting that super-resolution microscopy workflows have traditionally been manual but are now enhanced by this new level of automation and simplicity.

AutoEV stands out by not just acquiring data but by providing a comprehensive workflow designed for EV researchers. From the moment a chip is placed on the Nanoimager, all steps to ensure optimal imaging conditions are automated. This includes setting focus and optimal TIRF angles for imaging. AutoEV processes data through to analysis automatically, generating real-time data on sizing, clustering, and positivity. This culminates in a detailed one-page EV-focused report generated automatically after each run.

Combining EV Profiler 2 with AutoEV enables researchers to process three chips from sample to completed experiment in less than a day. Furthermore, Aplo Flow's reduction in hands-on time facilitates even higher throughput. For more details on these innovative solutions, interested parties are encouraged to visit ONI's official websites at oni.bio/evprofiler2 and oni.bio/aploflow.