Welcome back to the third instalment of our EV imaging series!
So far we have introduced super-resolution microscopy as a powerful tool for EV characterization and as a means for detecting and visualizing vesicle proteins and cargo. However, for those of you who are only beginning to use SMLM imaging in your research, making sense of localization data and knowing how to extract useful information can be daunting. At ONI, we provide not only the means to perform these single-molecule imaging techniques but also the tools to extract quantitative data through cluster analysis to fully unlock the secrets of EVs in a straightforward and user-friendly manner.
Here, we are excited to announce our new analysis platform, CODI, that provides researchers with a methodical analysis pipeline to standardize EV characterization by bringing together sophisticated but intuitive analysis tools for filtering and clustering localization data. This gives users the ability to perform automated counts and quantifications of biomarkers across thousands of EVs, calculate size distributions and detect therapeutic cargo for comprehensive, multi-factor characterization of heterogeneous populations. Make sure to read the accompanying application note to learn more about this collaborative discovery platform and to see examples of where we have applied these analysis tools to specific EV datasets. We hope this will inspire you to think about the ways in which CODI could benefit your own research!
As always, you can help us out by sharing this article on social media and helping to spread the knowledge. If you haven’t already done so, check out our EV hub that has additional resources on the applications of super-resolution microscopy to EV research. Thank you for reading, and we look forward to seeing you back here for the next instalment. If you have any questions or suggestions, or would like to get in touch about your research, please don’t hesitate to contact us (firstname.lastname@example.org).
Feel free to share our imaging series on social media, and if you would like to learn more about EVs and single-molecule localization microscopy, please visit our other articles using the links below.