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This study introduces MorphoLibJ, a new library of mathematical morphology (MM) tools for processing 2D and 3D images in ImageJ/Fiji. MorphoLibJ enhances 3D image analysis, particularly for plant tissues.

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Area of Science:

  • Image analysis
  • Computational biology
  • Biophysics

Background:

  • Mathematical morphology (MM) offers powerful image processing capabilities for 2D and 3D data.
  • Existing ImageJ/Fiji plugins for MM are predominantly limited to 2D image processing.

Purpose of the Study:

  • To introduce MorphoLibJ, a comprehensive library of generic MM tools.
  • To extend MM capabilities for both binary and grey-level 2D and 3D image processing within ImageJ/Fiji.
  • To demonstrate the utility of MorphoLibJ for analyzing 3D plant tissue images.

Main Methods:

  • Development of a library of generic tools based on mathematical morphology.
  • Integration of these tools into user-friendly plugins for the ImageJ/Fiji platform.
  • Application of the library to process and analyze 3D images of plant tissues.

Main Results:

  • MorphoLibJ provides a wide array of MM operators for 2D and 3D image analysis.
  • The library supports processing of both binary and grey-level images.
  • Demonstrated successful application in facilitating the exploitation of 3D plant tissue images.

Conclusions:

  • MorphoLibJ significantly expands the 3D image processing capabilities within ImageJ/Fiji using mathematical morphology.
  • The library offers a versatile and accessible solution for researchers working with complex biological image data.
  • MorphoLibJ facilitates advanced analysis of 3D biological structures, such as plant tissues.