Optical Tomography

Optical tomography aims to reconstruct three-dimensional images from optical measurements, offering non-invasive insights into the internal structures of various samples, from cells to tissues. Current research emphasizes improving reconstruction accuracy and resolution by employing advanced computational methods, including physics-informed neural networks, state-space models, and neural fields, to overcome challenges like scattering and limited data. These advancements are driving improvements in biomedical imaging, enabling higher-resolution visualizations of biological samples and potentially leading to better diagnostics and treatment planning. Furthermore, AI-driven approaches are automating the reconstruction process, increasing efficiency and accessibility.