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However, it faces technical challenges when applied to beam\u2010sensitive samples or agglomerated nanoparticles. This study presents a novel approach that combines 4D\u2010STEM tomography with object tracking and segmentation algorithms to overcome these limitations, and achieve single\u2010crystalline 3D ED datasets from nanopowder samples. The method and data quality are assessed on brookite TiO\n                    <jats:sub>2<\/jats:sub>\n                    nanorods and beam\u2010sensitive CsPbBr\n                    <jats:sub>3<\/jats:sub>\n                    nanoparticles. To finely sample the reciprocal space, the data acquisition was automated to acquire hundreds of 4D\u2010STEM scans at fine tilt steps using a slightly convergent beam (0.6 to 1 mrad). Compared to conventional 3D ED methodologies, the proposed method provides enhanced signal\u2010to\u2010noise ratio, low illumination time for reducing beam damage, and the ability to analyze multiple particles from a single tomographic dataset. The procedure is optimized to be feasible using commercially available desktops and detectors. This extends the method applicability to systems and samples that were very challenging for conventional 3D ED methods, by eliminating several technical challenges for the data acquisition.\n                  <\/jats:p>","DOI":"10.1002\/smtd.71095","type":"journal-article","created":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T05:15:24Z","timestamp":1791436524000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A 4D\u2010STEM Tomographic Framework Assisted by Object Tracking for Nanoparticle Structure Determination"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4483-4897","authenticated-orcid":false,"given":"Saleh","family":"Gholam","sequence":"first","affiliation":[{"name":"EMAT Department of Physics University of Antwerp  Antwerp Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arno","family":"Annys","sequence":"additional","affiliation":[{"name":"EMAT 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