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An unsupervised tool for multiscale soma detection and counting in microscopy volume images.

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lens-biophotonics/NeuCnt3D

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NeuCnt3D

NeuCnt3D (3D Neuron Count) is an unsupervised Python tool for multiscale neuronal body count in large high-resolution volume images acquired by two-photon scanning or light-sheet fluorescence microscopy.

Key features

  • unsupervised blob detection via Laplacian of Gaussian or Difference of Gaussian kernels
  • parallel multiscale analysis of basic image slices
  • able to handle large tiled microscopy reconstructions

Documentation

Please read the documentation at this page: https://lens-biophotonics.github.io/NeuCnt3D/

References

Lindeberg, T. (1998), Feature detection with automatic scale selection, International Journal of Computer Vision, 30(2), 77-116. doi: 10.1023/A:1008045108935

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An unsupervised tool for multiscale soma detection and counting in microscopy volume images.

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