MedPlanktonSet Analysis Tools

MedPlanktonSet Analysis Tools process and analyze Imaging FlowCytobot (IFCB) plankton images from the Mediterranean Sea to support research on plankton biodiversity and ecology.

Key Features:

• Image Annotation: Facilitates annotation of IFCB plankton images for taxonomic classification.
• Image Processing: Provides MATLAB routines for processing IFCB plankton images and their associated features.
• Taxonomic Classification: Supports classification of IFCB images into taxonomic categories.

Scientific Applications:

• Plankton Biodiversity Research: Supports analysis of plankton community composition and diversity in the Mediterranean Sea.
• Plankton Ecology Studies: Enables trait-based ecological research using taxonomically annotated IFCB image datasets.
• Machine Learning Classifier Development: Facilitates development and training of machine learning classifiers for automated plankton identification.
• 3D Plankton Reconstruction: Supports computational reconstruction of three-dimensional plankton structures from IFCB images.
• Taxonomist Training: Provides annotated image data for training plankton taxonomists.

Methodology:

The tools are implemented as MATLAB routines for processing and analyzing IFCB plankton images.