{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["006:55"], "contactPoint": {"fn": "Thomas Cleveland", "hasEmail": "mailto:thomas.cleveland@nist.gov"}, "description": "Lipid nanoparticles (LNPs) were prepared as described (https://doi.org/10.1038/s42003-021-02441-2) using the lipids DLin-KC2-DMA, DSPC, cholesterol, and PEG-DMG2000 at mol ratios of 50:10:38.5:1.5. Four sample types were prepared: LNPs in the presence and absence of RNA, and with LNPs ejected into pH 4 and pH 7.4 buffer after microfluidic assembly. To prepare samples for imaging, 3 ?L of LNP formulation was applied to holey carbon grids (Quantifoil, R3.5/1, 200 mesh copper). Grids were then incubated for 30 s at 298 K and 100% humidity before blotting and plunge-freezing into liquid ethane using a Vitrobot Mark IV (Thermo Fisher Scientific). Grids were imaged at 200 kV using a Talos Arctica system equipped with a Falcon 3EC detector (Thermo Fisher Scientific). A nominal magnification of 45,000x was used, corresponding to images with a pixel count of 4096x4096 and a calibrated pixel spacing of 0.223 nm. Micrographs were collected as dose-fractionated ?movies? at nominal defocus values between -1 and -3 ?m, with 10 s total exposures consisting of 66 frames with a total electron dose of 12,000 electrons per square nanometer. Movies were motion-corrected using MotionCor2 (https://doi.org/10.1038/nmeth.4193), resulting in flattened micrographs suitable for downstream particle segmentation. A total of 38 images were manually segmented into particle and non-particle regions. Segmentation masks and their corresponding images are deposited in this data set.", "distribution": [{"description": "CryoEM images of lipid nanoparticles and their segmentation masks", "downloadURL": "https://data.nist.gov/od/ds/mds2-2753/R111_S404_pH4_1p5pcPEG_noRNA.zip", "format": ".zip archive containing TIFF images", "mediaType": "application/x-zip-compressed", "title": "KC2 LNPs at pH 4, without RNA"}, {"description": "CryoEM images of lipid nanoparticles and their segmentation masks", "downloadURL": "https://data.nist.gov/od/ds/mds2-2753/R111_S405_pH7_1p5pcPEG_noRNA.zip", "format": ".zip archive containing TIFF images", "mediaType": "application/x-zip-compressed", "title": "KC2 LNPs at pH 7, without RNA"}, {"description": "CryoEM images of lipid nanoparticles and their segmentation masks", "downloadURL": "https://data.nist.gov/od/ds/mds2-2753/R111_S406_pH4_1p5pcPEG_RNA.zip", "format": ".zip archive containing TIFF images", "mediaType": "application/x-zip-compressed", "title": "KC2 LNPs at pH 4, with RNA"}, {"description": "CryoEM images of lipid nanoparticles and their segmentation masks", "downloadURL": "https://data.nist.gov/od/ds/mds2-2753/R111_S407_pH7_1p5pcPEG_RNA.zip", "format": ".zip archive containing TIFF images", "mediaType": "application/x-zip-compressed", "title": "KC2 LNPs at pH 7, with RNA"}, {"downloadURL": "https://data.nist.gov/od/ds/mds2-2753/readme.txt", "mediaType": "text/plain", "title": "Readme"}], "identifier": "ark:/88434/mds2-2753", "issued": "2023-02-01", "keyword": ["AI", "CryoEM", "LNP", "Lipid Nanoparticle", "cryogenic electron microscopy", "mRNA", "machine learning"], "landingPage": "https://data.nist.gov/od/id/mds2-2753", "language": ["en"], "license": "https://www.nist.gov/open/license", "modified": "2022-08-18 00:00:00", "programCode": ["006:045"], "publisher": {"@type": "org:Organization", "name": "National Institute of Standards and Technology"}, "references": ["https://doi.org/10.1038/s42003-021-02441-2"], "theme": ["Bioscience:Biomaterials", "Information Technology:Computational science", "Information Technology:Software research", "Nanotechnology:Nanobiotechnology", "Physics:Biological physics"], "title": "Segmentation of lipid nanoparticles from cryogenic electron microscopy images"}