Data

Data for NASTIC

The University of Queensland
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2023, The University of Queensland

Open Access

Permitted Re-use with Acknowledgement

Contact Information

t.wallis@uq.edu.au

Full description

A set of synthetic and experimental super-resolution data (TRXYT) for analysis using the NASTIC suite of spatiotemporal analysis software. These data represent those used for evaluation of NASTIC, and comprise the majority of figures in the publication.

Issued: 20 04 2023

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Related Publications

  • Associated with Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing
    uri : espace.library.uq.edu.au/view/UQ:8ada19a

    Wallis, Tristan P., Jiang, Anmin, Young, Kyle, Hou, Huiyi, Kudo, Kye, McCann, Alex J., Durisic, Nela, Joensuu, Merja, Oelz, Dietmar, Nguyen, Hien, Gormal, Rachel S. and Meunier, Frédéric A. (2023). Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing. Nature Communications, 14 (1) 3353, 1-16. doi: 10.1038/s41467-023-38866-y

  • Associated with Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing
    doi : 10.1038/S41467-023-38866-Y

    Wallis, Tristan P., Jiang, Anmin, Young, Kyle, Hou, Huiyi, Kudo, Kye, McCann, Alex J., Durisic, Nela, Joensuu, Merja, Oelz, Dietmar, Nguyen, Hien, Gormal, Rachel S. and Meunier, Frédéric A. (2023). Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing. Nature Communications, 14 (1) 3353, 1-16. doi: 10.1038/s41467-023-38866-y

Subjects
Python | Spatiotemporal clustering | super resolution microscopy |

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