Physics-informed generative real-time lens-free imaging

7.5
来源: Cell
发布时间: 2025-09-03 03:38
摘要:

GenLFI is a groundbreaking lens-free imaging framework that utilizes a physics-informed neural network to achieve real-time imaging of 3D dynamic samples. This innovative approach significantly enhances the field-of-view and speed of imaging, making it suitable for high-throughput biomedical applications. The framework overcomes traditional limitations of lens-based systems, enabling robust imaging in complex optical environments. With a field-of-view exceeding 550 mm2, GenLFI paves the way for advanced automation in biomedical imaging workflows, offering a scalable solution for monitoring dynamic biological processes.

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关键证据

GenLFI enables robust 2D imaging of 3D dynamic samples.
Achieves a real-time FOV exceeding 550 mm2, more than 20 times larger than current systems.
Provides a scalable and practical solution for advancing automation and throughput in biomedical imaging workflows.

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GenLFI is a groundbreaking lens-free imaging framework that utilizes a physics-informed neural network to achieve real-time imaging of 3D dynamic samples. This innovative approach significantly enhances the field-of-view and speed of imaging, making it suitable for high-throughput biomedical applications. The framework overcomes traditional limitations of lens-based systems, enabling robust imaging in complex optical environments. With a field-of-view exceeding 550 mm2, GenLFI paves the way for advanced automation in biomedical imaging workflows, offering a scalable solution for monitoring dynamic biological processes.

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