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1. https://www.sciencedaily.com/releases/2025/01/250117112320.htm - (Trust Score 8/10)
- A research team at POSTECH developed a technology that transforms low-resolution, label-free MIR-PAM images into high-resolution, virtually stained images resembling those generated by CFM, enhancing cell visualization without compromising cell health.
2. https://optics.org/news/16/1/24 - (Trust Score 7/10)
- POSTECH AI turns photoacoustic images into higher resolution confocal data by using an XDL approach, which enhances transparency and ensures both reliability and accuracy in imaging.
3. https://www.sciencedaily.com/releases/2025/01/250117112320.htm (same source as above) - (Trust Score 8/10)
- The technology bridges the physical limitations of different imaging modalities, offering complementary benefits and unlocking new possibilities for multiplexed, high-resolution cellular imaging without labeling.