Experimental Parameters-Based Monte-Carlo Simulation of Single-Molecule Localization Microscopy of Nuclear Pore Complex to Evaluate Clustering Algorithms

Wei-Hong Yeo; Yang Zhang; Amy E. Neely; Xiaomin Bao; Cheng Sun; Hao F. Zhang

doi:10.1101/2022.09.21.508613

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Experimental Parameters-Based Monte-Carlo Simulation of Single-Molecule Localization Microscopy of Nuclear Pore Complex to Evaluate Clustering Algorithms

View ORCID ProfileWei-Hong Yeo, Yang Zhang, Amy E. Neely, View ORCID ProfileXiaomin Bao, View ORCID ProfileCheng Sun, View ORCID ProfileHao F. Zhang

doi: https://doi.org/10.1101/2022.09.21.508613

Wei-Hong Yeo

1Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208

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Yang Zhang

1Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208

2Currently with Program of Polymer and Color Chemistry, Department of Textile Engineering, Chemistry and Science, North Carolina State University, Raleigh, NC 27606

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For correspondence: yang.zhang@ncsu.edu

Amy E. Neely

3Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208

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Xiaomin Bao

3Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208

4Department of Dermatology, Northwestern University, Chicago, IL 60611

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Cheng Sun

4Department of Dermatology, Northwestern University, Chicago, IL 60611

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Hao F. Zhang

1Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208

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Posted September 22, 2022.

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Experimental Parameters-Based Monte-Carlo Simulation of Single-Molecule Localization Microscopy of Nuclear Pore Complex to Evaluate Clustering Algorithms

Wei-Hong Yeo, Yang Zhang, Amy E. Neely, Xiaomin Bao, Cheng Sun, Hao F. Zhang

bioRxiv 2022.09.21.508613; doi: https://doi.org/10.1101/2022.09.21.508613

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Experimental Parameters-Based Monte-Carlo Simulation of Single-Molecule Localization Microscopy of Nuclear Pore Complex to Evaluate Clustering Algorithms

Wei-Hong Yeo, Yang Zhang, Amy E. Neely, Xiaomin Bao, Cheng Sun, Hao F. Zhang

bioRxiv 2022.09.21.508613; doi: https://doi.org/10.1101/2022.09.21.508613

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