The use of deep learning for phase recovery

Light, as an electromagnetic field, has two essential components: amplitude and phase. However, optical detectors, usually relying on photon-to-electron conversion (such as charge-coupled device sensors and the human eye), ...

Q&A: How generative AI could help accelerate biomedical research

The recent explosion of generative AI tools has prompted many discussions in virtually all fields about the benefits and risks of these technologies. These tools, including ChatGPT, Bard and others, have been trained on huge ...

Clear holographic imaging in turbulent environments

Holographic imaging has always been challenged by unpredictable distortions in dynamic environments. Traditional deep learning methods often struggle to adapt to diverse scenes due to their reliance on specific data conditions.

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