A comprehensive Python-based control and simulation framework for two-photon lithography fabrication, developed for advanced semiconductor nanofabrication research.

Two-photon lithography (TPL) is a cutting-edge additive manufacturing technique that enables the fabrication of complex 3D nanostructures with sub-micron resolution. This project provides:

• Hardware Control: Laser power, stage positioning, and exposure control
• Design Tools: CAD import, geometry processing, and toolpath generation
• Simulation: Physical modeling of two-photon absorption and polymerization
• Optimization: Automated parameter tuning for optimal fabrication results
• Data Analysis: Post-processing and characterization tools

• High-precision laser control with femtosecond pulse optimization
• STL/CAD file import and automated slicing
• Physics-based simulation of absorption and thermal effects
• Real-time parameter optimization
• Integrated data visualization and analysis
• Optional GUI for interactive control
• Extensive example library (photonic crystals, metamaterials, microfluidics)

# Clone the repository
git clone https://github.com/Zeyad-Mustafa/two-photon-lithography.git
cd two-photon-lithography

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Install package in development mode
pip install -e .

from tpl.design import Geometry, PathPlanner
from tpl.core import ExposureEngine
from tpl.optimization import ParameterTuner

# Load or create geometry
geometry = Geometry.from_stl("designs/my_structure.stl")

# Generate toolpath
planner = PathPlanner(layer_height=0.5, hatch_distance=0.3)
toolpath = planner.generate(geometry)

# Configure exposure parameters
engine = ExposureEngine(
    laser_power=20,  # mW
    scan_speed=50000,  # µm/s
    pulse_frequency=80e6  # Hz
)

# Execute fabrication
engine.execute(toolpath)

• Python 3.8+
• NumPy, SciPy, Matplotlib
• PySerial (for hardware communication)
• Trimesh (for 3D geometry processing)
• PyYAML (for configuration)

• Femtosecond laser (typical: 780 nm, <100 fs pulse width)
• High-NA objective (≥1.4 NA recommended)
• Piezo positioning stage (nm-level precision)
• Photoresist (e.g., IP-Dip, Ormocomp)

Comprehensive documentation is available in the docs/ directory:

• Getting Started Guide
• Theory and Background
• API Reference
• Tutorials
• Example Projects

Explore ready-to-use fabrication examples:

# Photonic crystal
python examples/photonic_crystals/woodpile_structure.py

# Microfluidic channel
python examples/microfluidics/channel_network.py

# Metamaterial structure
python examples/metamaterials/split_ring_resonator.py

System parameters can be configured via YAML files in configs/:

# configs/default_config.yaml
laser:
  wavelength: 780  # nm
  power_range: [1, 100]  # mW
  pulse_width: 80  # fs

stage:
  resolution: 1  # nm
  max_speed: 100000  # µm/s
  
photoresist:
  type: "IP-Dip"
  refractive_index: 1.52

This framework supports various nanofabrication applications:

• Photonics: Waveguides, photonic crystals, optical resonators
• Metamaterials: Negative index materials, chiral structures
• Microfluidics: Lab-on-chip devices, mixing chambers
• Biomedical: Tissue scaffolds, drug delivery systems
• Mechanical: MEMS devices, micromechanical structures

two-photon-lithography/
├── src/tpl/           # Core Python package
├── hardware/          # Hardware specs and firmware
├── examples/          # Fabrication examples
├── tests/             # Unit and integration tests
├── docs/              # Documentation
├── notebooks/         # Jupyter tutorials
└── configs/           # Configuration files

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License - see LICENSE file for details.

Developed as part of semiconductor technology research at BTU Cottbus-Senftenberg.

• Based on research in two-photon polymerization
• Inspired by open-source scientific instrumentation principles
• Community contributions and feedback

Zeyad Mustafa
Master's Program - Semiconductor Technology
BTU Cottbus-Senftenberg

GitHub: @Zeyad-Mustafa

• Two-Photon Lithography Overview
• Hardware Setup Guide
• Material Database
• Troubleshooting Guide

Note: This is an academic research project. Hardware control features require appropriate safety measures and equipment calibration.