High-throughput measurement of the content and properties of nano-sized bioparticles with single-particle profiler doi-10-17044-scilifelab-20338869-0 https://doi.org/10.17044/SCILIFELAB.20338869 Swedish National Data Service Svensk nationell datatjänst Landing page High-throughput measurement of the content and properties of nano-sized bioparticles with single-particle profiler doi-10-17044-scilifelab-20338869-0 https://doi.org/10.17044/SCILIFELAB.20338869 Sezgin, Erdinc Sych, Taras Schlegel, Jan Swedish National Data Service Svensk nationell datatjänst Landing page This item containst data sets for Sych et al, Nature Biotechology, 2023.  It contains raw fluroescence fluctuation data as excle sheet and raw figure files.  Abstract: We introduce a method, single-particle profiler (SPP), that provides single-particle information on the content and biophysical properties of thousands of particles in the size range 5-150 nm. We apply SPP to measure the mRNA encapsulation efficiency of lipid nanoparticles, viral binding efficiency of different nanobodies, and biophysical heterogeneity of liposomes, lipoproteins, exosomes and viruses.   Data usage Researchers are welcome to use the data contained in the dataset for any projects. Please cite this item upon use or when published. We encourage reuse using the same CC BY 4.0 License. Data Content FCS files as raw data (.fcs) Excel and Prism files for graphs # Software to open files: .xlsx: Microsoft Excel  .pzfx: GraphPad Prism .svg: Inkscape (https://inkscape.org/) .fcs: Single Particle Profiler (https://github.com/taras-sych/Single-particle-profiler) .ipynb: Jupyter Notebook, installed as part of anaconda platform, python 3.8.8 (https://www.anaconda.com/) .py: executed via anaconda platform, python 3.8.8 (https://www.anaconda.com/) Access to data through an external actor. Åtkomst till data via extern aktör.