After completing the module, participants will be able to:

1. Explain the operating principles of major QPI modalities (digital holography, ptychography, tomographic phase imaging),
2. Describe the metrological challenges of QPI systems, including calibration needs, measurement uncertainty, and the role of standardized phantoms,
3. Understand the relationship between phase, refractive index, and biological structure, enabling meaningful interpretation of QPI data,
4. Operate multiple QPI instruments (2D and 3D) and configure them for biological sample imaging.
5. Perform full metrological validation workflows, including calibration, alignment, and performance assessment of QPI systems.
6. Acquire, reconstruct, and analyze QPI datasets, including phase retrieval, tomographic reconstruction, and extraction of quantitative metrics.
7. Evaluate the performance and limitations of different QPI systems using quantitative criteria and metrological best practices.
8. Identify sources of measurement error and propose strategies to improve accuracy, repeatability, and reliability.
9. Select the most appropriate QPI modality for a given biomedical or industrial task based on sample type, resolution needs, and measurement goals.