ONI has launched Aplo Flow, an integrated fluidics system that automates complex multiplexed imaging workflows for super-resolution microscopy experiments at 15 nanometre resolution. The system eliminates manual intervention between imaging cycles, enabling researchers to study molecular interactions below 100 nanometres that conventional optical technologies cannot resolve. Aplo Flow runs up to four samples in parallel and maintains over 99% spatial data preservation across multiple imaging cycles with minimal signal carryover. The platform supports workflows for drug delivery, particle uptake, DNA-PAINT, RESI and MERFISH applications. The San Diego-based company says the system combines sample preparation, fluidics, imaging and analysis into a single automated ecosystem, improving reproducibility whilst reducing operational complexity in spatial biology and therapeutic discovery research.

Oxford Nanoimaging has launched LNP PREP on Aplo Flow, delivering automated sample-to-answer workflow for lipid nanoparticle characterisation. The system integrates programmable fluidics with super-resolution microscopy to enable quantitative single-particle LNP analysis for biopharma development and manufacturing. Aplo Flow can prepare up to 16 samples for imaging in 4.5 hours, reducing hands-on time by up to 85% per sample. The platform combines automated fluidic control, single-molecule imaging, reagent kits and analysis software into a unified system. ONI is working with multiple global pharmaceutical organisations to advance automated LNP characterisation workflows. The technology enables precise measurement of LNP size, cargo loading and ligand distribution at single-particle resolution, supporting development of mRNA vaccines and gene therapies.