BASP–originally derived from Biomedical and Astronomical Signal Processing–is a research initiative dedicated to advancing computational imaging across disciplines, bridging fundamental theory, algorithm design, and real-world applications from astronomy to medicine.

Its work is structured around three complementary pillars:

• BASP Lab drives cutting-edge research, developing new frameworks in inverse problems, optimisation, machine learning, and uncertainty quantification to enable precise, robust, and scalable imaging solutions. 
• BASP Lib translates these advances into practice through an open-source software ecosystem, providing state-of-the-art implementations for solving challenging imaging problems, particularly in radio interferometry, with growing capabilities in MRI and ultrasound. 
• BASP Frontiers extends this mission to the global community, hosting an international conference that fosters collaboration and exchange on the latest developments in computational imaging and AI. Together, these three components form a unified effort to push the boundaries of how complex data can be transformed into meaningful images across science and medicine.