Build the Future of Medical Devices

Access comprehensive APIs, SDKs, and documentation to extend OpenLIFU and OpenMOTION platforms

Technical Documentation

Everything you need to start building with Openwater platforms

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OpenLIFU

Low Intensity Focused Ultrasound platform with Python and C++ APIs

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OpenMOTION

Optical imaging platform for blood flow and motion tracking

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Development Tools

CLI tools, Docker containers, and development environments

Quick Start: Your First OpenLIFU Application Python
# Install OpenLIFU
pip install openlifu

# Import the library
from openlifu import Device, PulseSequence, Target

# Initialize device
device = Device("OpenLIFU-2.0")

# Define target coordinates (in MRI space)
target = Target(x=45.2, y=-12.8, z=63.1)

# Load pulse sequence
sequence = PulseSequence.load("neuromodulation_basic")

# Execute treatment (simulation mode)
result = device.execute(target, sequence, simulation=True)

# Analyze results
print(f"Peak pressure: {result.peak_pressure} kPa")
print(f"Focal volume: {result.focal_volume} mm³")
View Full Tutorial → Download Examples

Contribution Opportunities

Find issues to work on, earn bounties, and apply for grants

Good First Issue Bounty: $500 Python

Add unit tests for pulse sequence validation

We need comprehensive unit tests for the pulse sequence validation module.

📁 OpenLIFU-python 💬 3 comments
$500
Bounty
Community Grant Research

Develop AI-powered pulse sequence optimization

Research grant to develop machine learning algorithms that automatically optimize pulse sequences.

🎯 Major Project ⏱️ 3-6 months
$10K
Grant

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Contributor

1+ merged PR

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Regular Contributor

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Core Contributor

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Ready to Start Building?

Join the growing community of developers shaping the future of medical devices

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