Nitrogen vacancy (NV) centers in
fluorescent nanodiamonds
(FNDs)
draw widespread attention as quantum sensors due to their room-temperature
luminescence, exceptional photo- and chemical stability, and biocompatibility.
For bioscience applications, NV centers in FNDs offer high-spatial-resolution
capabilities that are unparalleled by other solid-state nanoparticle
emitters. On the other hand, pursuits to further improve the optical
properties of FNDs have reached a bottleneck, with intense debate
in the literature over which of the many factors are most pertinent.
Here, we describe how substantial progress can be achieved using a
correlative transmission electron microscopy and photoluminescence
(TEMPL) method that we have developed. TEMPL enables a precise correlative
analysis of the fluorescence brightness, size, and shape of individual
FND particles. Augmented with machine learning, TEMPL can be used
to analyze a large, statistically meaningful number of particles.
Our results reveal that FND fluorescence is strongly dependent on
particle shape, specifically, that thin, flake-shaped particles are
up to several times brighter and that fluorescence increases with
decreasing particle sphericity. Our theoretical analysis shows that
these observations are attributable to the constructive interference
of light waves within the FNDs. Our findings have significant implications
for state-of-the-art sensing applications, and they offer potential
avenues for improving the sensitivity and resolution of quantum sensing
devices.