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PoCA: a software platform for point cloud data visualization and quantification

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Fig. 1: Overview of PoCA.

Code availability

PoCA is packaged as a one-click installer for the Windows operating system. The source code is available on GitHub ( under a LGPL v3 license. We provide a cmake script to facilitate its building inside other operating systems. The documentation is available at


  1. Ries, J. Nat. Methods 17, 870–872 (2020).

    Article  CAS  PubMed  Google Scholar 

  2. Marin, Z. et al. Nat. Methods 18, 582–584 (2021).

    Article  CAS  PubMed  Google Scholar 

  3. Levet, F. et al. Nat. Methods 12, 1065–1071 (2015).

  4. Levet, F. et al. Nat. Commun. 10, 2379 (2019).

  5. Ester, M., Kriegel, H.-P., Sander, J. & Xu, X. In Proc. Second Int. Conf. Knowledge Discovery and Data Mining (KDD’96) 226–231 (AAAI Press, 1996).

  6. Harris, C. R. et al. Nature 585, 357–362 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Williamson, D. J. et al. Nat. Commun. 11, 1493 (2020).

  8. Berman, H. M. et al. Nucleic Acids Res. 28, 235–242 (2000).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Jungmann, R. et al. Nat. Methods 13, 439–442 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references


This work was supported by the Ministère de l’Enseignement Supérieur et de la Recherche (ANR-20-CE11-0006 NANO-SYNATLAS to F.L.), the Centre National de la Recherche Scientifique (CNRS), the Conseil Régional d’Aquitaine and the Institut National de la Santé et de la Recherche Médicale (Inserm). We also acknowledge France-BioImaging infrastructure supported by the French National Research Agency (ANR-10-INBS-04).

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Authors and Affiliations



F.L. originated the idea and developed the software. F.L. and J.-B.S. designed the software requirements and contributed to the manuscript.

Corresponding authors

Correspondence to Florian Levet or Jean-Baptiste Sibarita.

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The authors declare no competing interests.

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Nature Methods thanks Ann Wheeler and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Supplementary Information

Supplementary Note and Supplementary Fig. 1

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Levet, F., Sibarita, JB. PoCA: a software platform for point cloud data visualization and quantification. Nat Methods (2023).

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