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BODICCellSegmentation2D

BODICCellSegmentation2D – Toolbox to Automatically Extract Bacterial Cells from DIC Microscopy Images.

Bacterial cell body segmentation workflow: DIC input image, DIC shear direction estimation: an obtained orientation  a=48.20[deg] (red line) , DIC image reconstruction, an overlay of the segmented cell body in red.

Bacterial cell body segmentation workflow: DIC input image, DIC shear direction estimation: an obtained orientation a=48.20[deg] (red line), DIC image reconstruction, an overlay of the segmented cell body in red.

Publications:

  • [2013,article] bibtex
    B. Obara, M. Roberts, J. Armitage, and V. Grau, "Bioimage informatics approach for bacterial cells identification in Differential Interference Contrast microscopy images," BMC Bioinformatics, vol. 14, iss. 134, 2013.
    @article{Obara2013c,
      author = {Boguslaw Obara and Mark Roberts and Judy Armitage and Vicente Grau},
      title = {Bioimage informatics approach for bacterial cells identification in {Differential Interference Contrast} microscopy images},
      journal = {BMC Bioinformatics},
      volume = {14},
      number = {134},
      year = {2013}
    }