OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing

Python Package for Optoacoustic Tomography (OAT)

Photoacoustic tomography as proposed by Xu and Wang in Python and Rust.

The IPASC standardised image reconstruction project.

Data platform and ML analytics for ALF calculations, with swappable local/GCP backends and dbt models

The data processing, analysis and visualization for an experimental research project on laser-induced photoacoustics at ARCNL. This study examines how surface plasmon polaritons (SPPs) affect the detection of acoustic echoes, motivated by metrology in nanolithography technology.

Script to run train 3D CNN to predict tumour region-of-interest from 3D RSOM images.

The Simulation and Image Processing for Photoacoustic Imaging (SIMPA) toolkit.

Distant Lights, a physics-informed software instrument and analysis toolkit for synthesizing sound from intensity-modulated light models.