| RRC ID |
87042
|
| 著者 |
Matsuda A, Rodriguez-Reza CM, Tamada Y, Matsuo Y, Yamamoto TG, Koujin T, Carlton PM.
|
| タイトル |
Phase-based computational adaptive optics enables artifact-free super-resolution microscopy.
|
| ジャーナル |
Commun Eng
|
| Abstract |
Adaptive optics has revolutionized biological microscopy by improving resolution and signal-to-noise ratio, yet its reliance on complex hardware and phototoxic wavefront sensing limits broader adoption. Here, we introduce ∅CAO, a computational phase-based adaptive optics technique that corrects optical aberrations in three-dimensional fluorescence microscopy without requiring specialized optics or training datasets. By leveraging phase transfer functions in the frequency domain, ∅CAO enables robust post-acquisition correction across diverse imaging modalities, including wide-field and structured illumination microscopy. Our method achieves substantial improvements in image fidelity, supports subregional aberration correction, and maintains performance under noisy conditions. Demonstrated on a range of biological specimens, including Caenorhabditis elegans and plant tissues, ∅CAO offers a scalable and accessible solution for high-resolution biological imaging, facilitating the broad deployment of adaptive optics approaches across the life sciences.
|
| 公開日 |
2026-3-9
|
| DOI |
10.1038/s44172-026-00622-7
|
| PII |
10.1038/s44172-026-00622-7
|
| PMID |
41803526
|
| リソース情報 |
| ヒト・動物細胞 |
HeLa(RCB0007) |
