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Computational microscope breaks the usual trade-off between speed, scale and detail
Key Takeaways
- A UC Berkeley-led team built a computational microscope that captures 25.2 billion pixels per second.
- The system uses 48 sensors, a diffractive optical element, and computational reconstruction to fill sensor gaps.
- Researchers say it achieves 3-micron resolution across more than 5 square centimeters at 120 frames per second.
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DT Editorial Team··via phys.org