Nanoparticles
are a promising solution for delivery of a wide range
of medicines and vaccines. Optimizing their design depends on being
able to resolve, understand, and predict biophysical and therapeutic
properties, as a function of design parameters. While existing tools
have made great progress, gaps in understanding remain because of
the inability to make detailed measurements of multiple correlated
properties. Typically, an average measurement is made across a heterogeneous
population, obscuring potentially important information. In this work,
we develop and apply a method for characterizing nanoparticles with
single-particle resolution. We use convex lens-induced confinement
(CLiC) microscopy to isolate and quantify the diffusive trajectories
and fluorescent intensities of individual nanoparticles trapped in
microwells for long times. First, we benchmark detailed measurements
of fluorescent polystyrene nanoparticles against prior data to validate
our approach. Second, we apply our method to investigate the size
and loading properties of lipid nanoparticle (LNP) vehicles containing
silencing RNA (siRNA), as a function of lipid formulation, solution
pH, and drug-loading. By taking a comprehensive look at the correlation
between the intensity and size measurements, we gain insights into
LNP structure and how the siRNA is distributed in the LNP. Beyond
introducing an analytic for size and loading, this work allows for
future studies of dynamics with single-particle resolution, such as
LNP fusion and drug-release kinetics. The prime contribution of this
work is to better understand the connections between microscopic and
macroscopic properties of drug-delivery vehicles, enabling and accelerating
their discovery and development.