Modan2 - Comprehensive Morphometrics Software

Modan2 empowers researchers and scientists to explore and understand shape variations in biological objects through geometric morphometrics. This user-friendly software streamlines your workflow from data acquisition to analysis and visualization.

Table of Contents

• Introduction
• Installation
• Getting Started
• Using Modan2
• Dataset and Object Management
• Dataset Analysis
• Preferences

Introduction

Modan2 provides a holistic solution for geometric morphometrics, enabling:

• Seamless Data Management: Organize datasets, objects, and their properties effortlessly.
• Powerful Analysis: Conduct in-depth morphometric analyses with various tools and visualizations.
• Customizable Workflow: Tailor the software to your specific research needs through preferences.

Installation

1. System Requirements:

   • Windows 10, macOS 10.12, or Linux (Ubuntu 18.04 or equivalent)
   • Intel Core i5 or equivalent CPU
   • 8 GB RAM minimum
   • 500 MB disk space
   • Dedicated GPU recommended for 3D features

2. Download and Install:

   • Get the latest Modan2 installer from our release section.
   • Follow the on-screen instructions.

Getting Started

• Main Window:
  • Toolbar: Access key functions for datasets, objects, analysis, and preferences.
  • Panes: View datasets, object lists, and object details.
• Adding Datasets and Objects:
  • Create new datasets and easily add objects via drag-and-drop.
• Importing and Exporting:
  • Seamlessly transfer datasets in and out of Modan2.

Using Modan2

• Dataset Analysis: Initiate and manage analyses through the intuitive wizard.
• Preferences: Customize settings for visualization, window behavior, and more.

Dataset and Object Management

• Dataset and Object Dialogs: Edit details, landmarks, wireframes, and properties.
• Bulk Editing: Efficiently modify multiple objects at once.
• Drag-and-Drop: Intuitively move and copy objects between datasets.

Dataset Analysis

• Landmark Visualization: View landmarks and average shapes in 2D or 3D.
• Object List and Scatterplot: Explore relationships between objects.
• PCA Results: Analyze principal component analysis data.
• Saving Results: Export scatterplots and PCA data for further investigation.

Preferences

• Window Geometry: Control the position and size of the main window.
• Scatterplot Visualization: Customize colors and symbols for data points.

License

This project is licensed under the MIT License.