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Search for "object recognition and tracking" in Full Text gives 2 result(s) in Beilstein Journal of Nanotechnology.

Deep-learning recognition and tracking of individual nanotubes in low-contrast microscopy videos

Beilstein J. Nanotechnol. 2025, 16, 1316–1324, doi:10.3762/bjnano.16.96

can be adapted for other types of in situ microscopy studies, emphasizing the importance of automation in high-throughput data acquisition for research on individual nano-objects. Keywords: carbon nanotubes growth kinetics; deep learning; in situ microscopy; object recognition and tracking

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Published 13 Aug 2025

Beilstein J. Nanotechnol. 2021, 12, 878–901, doi:10.3762/bjnano.12.66

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Published 13 Aug 2021

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