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SimuCell: a flexible framework for creating synthetic microscopy images

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Figure 1: Synthetic image generation using SimuCell.

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Acknowledgements

We thank R. Murphy and members of the Altschuler and Wu laboratories for helpful feedback and discussions. This research was supported by US National Institutes of Health R01 grants (GM085442 to S.J.A. and GM081549 to L.F.W.), the Welch Foundation (I-1619 to S.J.A. and I-1644 to L.F.W.), CPRIT RP10900 (L.F.W.) and the University of Texas Southwestern Medical Center (QP-SURF to N.E.F.H.).

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Author notes

  1. Satwik Rajaram and Benjamin Pavie: These authors contributed equally to the work

Authors and Affiliations

  1. Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA

    Satwik Rajaram, Benjamin Pavie, Steven J Altschuler & Lani F Wu

  2. Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, Texas, USA

    Satwik Rajaram, Benjamin Pavie, Steven J Altschuler & Lani F Wu

  3. University of Virginia School of Medicine, Charlottesville, Virginia, USA

    Nicholas E F Hac

Authors
  1. Satwik Rajaram
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  2. Benjamin Pavie
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  3. Nicholas E F Hac
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  4. Steven J Altschuler
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  5. Lani F Wu
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Corresponding authors

Correspondence to Steven J Altschuler or Lani F Wu.

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The authors declare no competing financial interests.

Supplementary information

Supplementary Software

SimuCell code (v0.9) (ZIP 9533 kb)

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Rajaram, S., Pavie, B., Hac, N. et al. SimuCell: a flexible framework for creating synthetic microscopy images. Nat Methods 9, 634–635 (2012). https://doi.org/10.1038/nmeth.2096

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