LaminoCam Documentation

Welcome to the LaminoCam documentation. LaminoCam is a high-performance C++ library for tomographic reconstruction of sparse lamninographic data, with missing cone correction using L1 regularization via the Split Bregman method.

Overview

LaminoCam is a C++ laminography reconstruction library developed at Lawrence Berkeley National Laboratory. It provides command-line tools for iterative reconstruction using split Bregman optimization and conjugate gradient methods, with optional GPU acceleration.

Getting Started

• Installation
  • Build Dependencies
  • Supported Platforms
  • Building from Source
  • Building with Tests
  • Installation
• Quick Start
  • Basic Reconstruction
  • Minimal Configuration
  • Configuration Explanation
  • Input Data
  • Example: Multi-tilt XMCD
  • Next Steps

User Guide

• Usage Guide
  • Command-Line Reconstruction
  • Input Data
  • Output Files
  • Python Utility Scripts
  • Performance Optimization
  • Troubleshooting
  • Example Workflows
• Configuration Reference
  • Input Section
  • Output Section
  • Reconstruction Parameters
  • Regularization
  • Complete Example
  • Multi-tilt XMCD Example

Theory

• Theory & Algorithms
  • Introduction
  • Geometry
  • Forward Projection Model
  • Conjugate Gradient Algorithm
  • Split Bregman for Total Variation Regularization
  • References

Additional Resources

• License
• Contact

Quick Links

• Installing LaminoCam: Installation Guide

• Running Your First Reconstruction: Quick Start

• Configuring Reconstructions: Configuration Reference

• Understanding the Math: Theory & Algorithms