Computational Microscopy Using LED Array for 3D Phase Imaging - Prof. Lei Tian
Explore advanced computational microscopy techniques in this IEEE Signal Processing Society webinar featuring Prof. Lei Tian from Boston University. Delve into LED array microscopy for multimodal computational imaging, focusing on intensity diffraction tomography (IDT) with controllable LED illumination. Learn about linear single-scattering approximation models, 3D reconstruction methods, and techniques to expand IDT's imaging limits. Discover multiplexed IDT for high volume-rate imaging, multi-scale phase tomography, and real-time volumetric phase imaging. Examine the limitations of single-scattering models and explore multiple-scattering approaches to improve reconstruction accuracy. Investigate deep learning strategies that leverage single-scattering inversion and learn multiple-scattering physics, enhancing weak scattering recovery and generalizing across different optical setups. Gain insights into lightweight 2D U-Net architectures for efficient 3D recovery, model-based data normalization techniques, and the use of multiple-scattering physical simulators for generating training data. Understand how neural networks trained on simulated data can generalize to biological samples, advancing the field of computational 3D phase microscopy. Read more