Accurate and repeatable analysis of EVs and other nanometer-scaled particles presents numerous challenges across research and industry. Replication of EV research has been difficult, in part, due to the lack of uniformity in reporting necessary parameters associated with data collection. To address these deficiencies, the ISEV proposed industry guidelines as a minimal set of biochemical, biophysical, and functional standards for EV researchers and published them as a position statement, commonly referred to as MISEV20141. The accelerating pace of EV research required an updated guideline, and the "MISEV2018: a position statement of the ISEV" expanded the MISEV2014 guidelines2. The MISEV2018 paper included tables, outlines of suggested protocols, and steps to follow to document specific EV-associated characterization. As a further measure to facilitate interpretation and replication of experiments, EV-TRACK was developed as a crowd-sourcing knowledgebase (http://evtrack.org) to enable more transparent reporting of EV biology and the methodology used for published results3. Despite these recommendations for standardized reporting of methods, the field continues to suffer regarding replicating and confirming published results.
Fitting with the National Institutes of Health's and National Science Foundation's effort for quality assessment tools, this paper suggests that ISEV requires standardized reporting of methods and details so that data assessment tools might be applied with the goal of replicating results between laboratories. Reporting cell sources, cell culture procedures, and EV isolation methods are important factors to define the qualities of the EV population. Among NTA instruments, factors such as detection settings, the refractive index of carrier fluid, heterogeneous particle populations contributing to polydispersity, lack of standardized reporting requirements, and absent intra- and inter-observer measurement results make NTA comparison between labs difficult or impossible.
In use since 2006, NTA is a popular method for nanoparticle size and concentration determination that is currently used by approximately 80% of EV researchers4. The MISEV2018 Guidelines require two forms of single-vesicle analysis, of which NTA is one of the popular options. NTA continues to be in common use for EV characterization due to its wide accessibility, low cost per sample, and its straightforward founding theory (the Stokes-Einstein equation). EV assessment by NTA generates a particle size distribution and concentration estimate using laser light scattering and Brownian motion analysis, with the lower limit of detection determined by the refractive index of the EV. When using a fluid sample of known viscosity and temperature, the trajectories of the EVs are tracked to determine their mean-square displacement in two dimensions. This allows the particle diffusion coefficient to be calculated and converted into a sphere-equivalent hydrodynamic diameter by a modified Stokes-Einstein equation5,6,7. NTA's particle-to-particle analysis has less interference by agglomerates or larger particles in a heterogeneous population of EVs than other methods of characterization7. While a few larger particles have minimal impact on sizing accuracy, the presence of even minute amounts of large, high light-scattering particles results in a notable reduction in the detection of smaller particles due to reduced software EV detection and tracking8. As a measurement technique, NTA is generally considered not to be biased toward larger particles or aggregates of particles but can resolve multiple-sized populations through individual particle analysis9. Because of the use of light-scattering by particles, one of the limitations of NTA analysis is that any particulate such as dust, plastic, or powder with similar refraction and size attributes compared to EVs cannot be differentiated from actual EVs by this method of characterization.
The NanoSight LM10 (nanoparticle size analyzer) and LM14 (laser module) have been sold since 2006, and although newer models of this instrument have been developed, this particular model is found in many core facilities and is considered a reliable workhorse. Training is needed to properly optimize the NTA settings for high-resolution measurements of size and concentration. The two important settings needed for optimum video recordings are (1) the camera level and (2) the detection threshold. These must be set by the operator based on the sample's characteristics. One of the major constraints of NTA analysis is the recommendation of sample concentrations between 107 and 109 particles/mL, to achieve this sample dilution may be required10. Solutions used for dilution, such as phosphate-buffered saline, 0.15 M saline, or ultrapure water, are rarely free of particles less than 220 µm in size, which may affect the NTA measurements. NTA characterization of the solutions used for dilution should be performed at the same camera level and detection threshold as the nanoparticle samples that are being analyzed.The size and concentration of nanoparticles present in diluents used for EV sample dilutions are seldom included in publications involving NTA analysis of EVs.
This protocol uses NTA analysis of synthetic EV-like liposomes evaluated using selected camera levels, detection thresholds, and mechanical filtering of the samples to analyze the systematic effects of camera level, detection threshold, or sample filtration on the NTA dataset. Liposomes were synthesized as described in Supplemental File S1. Synthetic liposomes were used in this experiment because of their size uniformity, physical characteristics, and stability in storage at 4 °C. Although actual samples of EVs could have been used, the heterogenicity and stability of EVs during storage may have complicated this study and its interpretation. Similarities in the NTA reports from (A) liposomes and (B) EVs indicate that the systematic effects revealed for liposomes in this paper will likely also apply to EV characterization (Figure 1). Together, these findings support the notion that complete reporting of critical software settings and the description of sample processing, such as diluent, dilution, and filtration, impact the reproducibility of NTA data.
The purpose of this paper is to demonstrate that varying the NTA settings (temperature, camera level, and detection threshold) and sample preparation changes the results collected: systematic, significant differences in size and concentration were obtained. As NTA is one of the popular options to fulfill the MISEV2018 characterization specification, these results demonstrate the importance of reporting sample preparation and NTA settings to ensure reproducibility.

Figure 1: Representative NTA reports to compare liposomes to EVs. (A) Liposomes: unfiltered sample characterized on NTA on 12 March 2020. (B) EVs: unfiltered sample characterized on NTA on 26 August 2021. Abbreviations: NTA = Nanoparticle tracking analysis; EVs = extracellular vesicles. Please click here to view a larger version of this figure.