論文 - 詳細
| 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 |
| オルトメトリクス指標 |
オルトメトリクス指標項目
|
| 最多言及媒体 | News |
| 各媒体での言及数の合計 | 14 |
| 過去6か月間でのオルトメトリクス指標の変動値 | 91.0 |
| リソース情報 | |
| ヒト・動物細胞 | HeLa(RCB0007) |