PASO: Porcine Anterior Segment OCT Dataset

If you find this dataset useful, please cite the peer-reviewed paper, which has recently been accepted to the 12th OMIA Workshop on MICCAI 2025 (proper citation will follow). J. Nienhaus, R. Peter et al., \"PASO: A Multipurpose Porcine Anterior Segment Dataset Featuring Spectral and Reconstructed OCT Volume Scans and Surgical Instrument Segmentation Masks\", Accepted to the 12th OMIA Workshop on MICCAI 2025.
The Porcine Anterior Segment OCT (PASO) dataset contains 141 raw and reconstructed (averaged) volume scans of ex-vivo porcine eyes, imaged with a microscope-integrated SS-OCT prototype, together with Python code for data loading, reconstruction and adjustable averaging. For a subset of 1020 scans from 19 porcine eye volumes, the dataset further offers annotations for Surgical Instrument Segmentation (SIS)