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NanoSIMS depth profiles of biomineralized cells of Acidovorax sp. ST3 grown under denitrifying and As(III) & Fe(II)-oxidizing conditions, using both the O- & Cs+ beams

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NIAID Data Ecosystem2026-03-13 收录
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https://figshare.com/articles/dataset/NanoSIMS_depth-profiles_O-_Cs_beam/19076753
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Data for Figures 3 and S6 in paper: "Elucidating Heterogeneous Iron Biomineralization Patterns in a Denitrifying As(III)-Oxidizing Bacterium: Implications for Arsenic Immobilization" Single Acidovorax sp. ST3 cells (7 days incubation) were selected for depth profiling. Both Cs+ and O- were used as primary ions and the selected areas were not implanted prior to starting the analysis (to preserve and keep the biomineral coating on the cells intact). Image raster sizes were 3-7 µm width. Spatial resolution was achieved by using D1=4 or 5 (beam size=120-100 nm). Pixel sizes were 128 x 128 or 256 x 256, and dwell time varied from 5,000-20,000 µs px-1. 50-170 planes were collected, and the scanning was stopped when the 12C14N or 56Fe+ signal disappeared. The data was processed using the L’image software (Larry Nittler, Carnegie Institution of Washington) and the plugin OpenMIMS for ImageJ (www.nrims.harvard.edu). 3D reconstructions of the depth profiles were generated using the Thermo Scientific™ Avizo™ Software 9.7.0. Stack data of the negative secondary ions 12C-, 56Fe16O- and 75As- , and the positive secondary ions 23Na+, 56Fe+, and 75As+, were first extracted in ImageJ and saved as “.raw” format files, which were loaded into Avizo™. The Z depth was compressed to 15-20 %. The 12C- and 23Na+ signals were smoothed over 2-3 pixels. The commands “generate surface” and “show surface” were used sequentially, and the “transparent” display with a transparency of 80 % was selected. 56Fe+ and 56Fe16O- signals were smoothed to 2 pixels and displayed as “shaded”. The 75As+/- ion counts were smoothed to 1 pixel. Four depth profile files are presented, including the .im raw nanoSIMS files, extracted 75As+/-, 56Fe16O-/56Fe+, 12C/23Na counts as .raw format (ready to load into AVIZO), and complementary image and videos of the 3D reconstructions for each depth profile (jpg and mpg formats).
创建时间:
2022-01-30
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