SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96
SuperResNET Software SuperResNET machine learning analysis software visualizes and quantifies single molecule localization microscopy (SMLM) point cloud data. SuperResNET segments nucleopore octagon structures, its eight corners and identifies two modules in corners, corresponding to two individual Nup96 molecules. More details can be found in article number 2400521 by Ismail M. Khater, Ghassan Hamarneh, Ivan R. Nabi, and co-workers.
Authors
- Timothy H. Wong (ORCID: https://orcid.org/0009-0007-1015-9145)
- Y. Lydia Li (ORCID: https://orcid.org/0009-0008-5975-6896)
- Ismail M. Khater (ORCID: https://orcid.org/0000-0001-7827-7745)
- Christian Hallgrimson (ORCID: https://orcid.org/0000-0002-6534-7879)
- Ben Cardoen (ORCID: https://orcid.org/0000-0001-6871-1165)
- Ivan R. Nabi (ORCID: https://orcid.org/0000-0002-0670-0513)
- Ghassan Hamarneh (ORCID: https://orcid.org/0000-0001-5040-7448)
Institutions
- University of British Columbia (CA)
- Simon Fraser University (CA)
- Birzeit University (PS)
Publication Details
- Journal
- Advanced Intelligent Systems
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/aisy.202570014
- Primary Topic
- Advanced Fluorescence Microscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00