Skip to content

Citations and Acknowledgements

Citing IntegraPose

If IntegraPose contributes to your analysis pipeline, include the project citation in your methods section, software statement, or acknowledgements.

Augustine, F., O'Sullivan, S., Murray, V., Ogura, T., Lin, W., & Singer, H. S. (2025). IntegraPose: A unified framework for simultaneous pose estimation and behavior classification. Neuroscience, 590, 1-22. https://doi.org/10.1016/j.neuroscience.2025.10.020

Most manuscripts are clearer when they cite three layers of the workflow:

  1. IntegraPose itself
  2. the model family or training framework used for inference
  3. any major downstream analysis framework that materially shaped the results

That makes the computational pipeline easier for collaborators and reviewers to follow.

Open Source Foundations

IntegraPose depends on a broader open-source ecosystem. The project benefits directly from tools that make modern computer vision, numerical analysis, visualization, and model training practical in research settings.

Project Why it matters here
PyTorch Supports deep-learning execution and GPU-backed model workflows
Ultralytics YOLO Provides the backbone for core detection and pose training and inference flows
OpenCV Handles important video IO, image processing, and overlay operations
NumPy Powers array-based numerical computation throughout the pipeline
SciPy Supports scientific and signal-processing style analysis utilities
Pandas Drives table-oriented results handling and export workflows
Matplotlib Supports plotting and report-style visualization
Pillow Supports image loading, conversion, and GUI-friendly image handling
Supervision Provides useful computer-vision workflow helpers and overlay utilities

IntegraPose also benefits from the broader open-source research software community that continues to improve model tooling, scientific Python infrastructure, and reproducible analytics workflows.

Acknowledgement

If you want a short acknowledgement sentence for a manuscript, thesis, or poster, this is a reasonable starting point:

This work used IntegraPose, a workflow that builds on open-source computer-vision and scientific Python projects including PyTorch, Ultralytics YOLO, OpenCV, NumPy, SciPy, Pandas, Matplotlib, Pillow, and Supervision.