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Accelerating 3B single-molecule super-resolution microscopy with cloud computing

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Figure 1: 3B analysis using Amazon EC2.

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Acknowledgements

We thank E. Rotsen for helping us install the 3B analysis software. This research is supported by the Waitt Foundation.

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Authors and Affiliations

  1. Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, California, USA

    Ying S Hu & Hu Cang

  2. Department of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon, USA

    Xiaolin Nan

  3. Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA

    Xiaolin Nan

  4. Oregon Center for Spatial Systems Biomedicine, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA

    Xiaolin Nan

  5. The Eunice Kennedy Shriver National Institute of Child Health and Human Development, US National Institutes of Health, Bethesda, Maryland, USA

    Prabuddha Sengupta & Jennifer Lippincott-Schwartz

Authors
  1. Ying S Hu
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  2. Xiaolin Nan
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  3. Prabuddha Sengupta
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  4. Jennifer Lippincott-Schwartz
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  5. Hu Cang
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Corresponding author

Correspondence to Hu Cang.

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The authors declare no competing financial interests.

Supplementary information

Demonstration of Amazon EC2 for 3B analysis

This brief video demonstrates the procedures of setting up an Amazon EC2 account, launching 3B calculation instances using the AMI and bash scripts we supply, visualizing reconstruction results and terminating EC2 instances using a Macintosh computer. (MOV 16669 kb)

Supplementary Software

The Cloud3Bscripts.zip file contains the bash and MATLAB scripts that we prepared to run the 3B analysis on the Amazon EC2 cloud. (ZIP 706 kb)

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Hu, Y., Nan, X., Sengupta, P. et al. Accelerating 3B single-molecule super-resolution microscopy with cloud computing. Nat Methods 10, 96–97 (2013). https://doi.org/10.1038/nmeth.2335

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