Optimizing the geometry of aerodynamic lens injectors for single-particle coherent diffractive imaging of gold nanoparticles
Lena Worbs, Nils Roth, Jannik L\"ubke, Armando D. Estillore, P. Lourdu, Xavier, Amit K. Samanta, Jochen K\"upper

TL;DR
This paper presents a geometry-optimized aerodynamic lens injector for improved single-particle imaging of 50 nm gold nanoparticles, enhancing beam density and reducing background noise for better structural analysis.
Contribution
It introduces a variable-geometry injector and a simulation-based optimization process specifically for small nanoparticle injection, validated experimentally and compared to standard designs.
Findings
Optimized injector shifts particle focus position, reducing background noise.
Simulation and experimental results agree, confirming the effectiveness of the optimization.
The optimized design increases nanoparticle beam density and reduces gas background.
Abstract
Single-particle x-ray diffractive imaging (SPI) of small (bio-)nanoparticles (NPs) requires optimized injectors to collect sufficient diffraction patterns to reconstruct the NP structure with high resolution. Typically, aerodynamic-lens-stack injectors are used for single NP injection. However, current injectors were developed for larger NPs ( nm) and their ability to generate high-density NP beams suffers with decreasing NP size. Here, an aerodynamic-lens-stack injector with variable geometry and the geometry-optimization procedure are presented. The optimization for 50 nm gold NP (AuNP) injection using a numerical simulation infrastructure capable of calculating the carrier gas flow and the particle trajectories through the injector is introduced. The simulations are experimentally validated using spherical AuNPs and sucrose NPs. In addition, the optimized injector is…
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