3DPhenoFish

3DPhenoFish extracts morphological phenotypes from three-dimensional (3D) point cloud data of fish to enable quantitative analysis of two-dimensional and three-dimensional traits.


Key Features:

  • Automated Phenotype Extraction: Extracts two-dimensional (2D) and three-dimensional (3D) morphological traits from point cloud data.
  • Background Elimination: Performs background elimination to isolate fish point clouds.
  • Coordinate Normalization: Applies coordinate normalization to standardize spatial orientation and scale.
  • Image Segmentation: Performs image segmentation to delineate anatomical regions.
  • Key Point Recognition: Automatically identifies 18 anatomical key points for phenotype calculation.
  • Phenotype Calculation: Computes traditional 2D morphological measures and 3D phenotypes such as area and volume.
  • Customization and Fine-Tuning: Supports adjustment of key points and custom definitions of phenotypes.
  • High Correlation with Manual Measurements: Validation shows a linear correlation greater than 0.94 with manual measurements.
  • Species and Population Discrimination: Provides informative traits that discriminate between species and among populations within species.
  • High-Throughput Data Handling: Processes large point cloud datasets for high-throughput phenotyping.

Scientific Applications:

  • Functional Gene Mapping: Provides precise morphological measurements that support association of phenotypes with genetic markers.
  • Artificial Breeding Programs: Supplies detailed phenotypic data to inform selective breeding decisions.
  • Population-Based Studies: Enables differentiation of populations for ecological and conservation analyses.
  • Aquaculture Research: Delivers quantitative phenotypes relevant to breeding and management in aquaculture.

Methodology:

Captures high-resolution point cloud data and applies integrated algorithms for background elimination, coordinate normalization, image segmentation, key point recognition, and phenotype extraction, as demonstrated on endemic Schizothoracinae species.

Topics

Details

Cost:
Free of charge
Tool Type:
desktop application
Added:
11/15/2021
Last Updated:
11/15/2021

Operations

Publications

Liao Y, Zhou C, Liu W, Jin J, Li D, Liu F, Fan D, Zou Y, Mu Z, Shen J, Liu C, Xiao S, Yuan X, Liu H. 3DPhenoFish: Application for two- and three-dimensional fish morphological phenotype extraction from point cloud analysis. Zoological Research. 2021;42(4):492-501. doi:10.24272/j.issn.2095-8137.2021.141. PMID:34235898. PMCID:PMC8317184.