Multiple guide stars optimization in conjugate adaptive optics for deep tissue imaging
| Autor: | Chenxue Wu, Ke Si, Jiajia Chen, Wei Gong, Yao Zheng, Biwei Zhang, Xinpei Zhu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Physics
Scattering business.industry Deep tissue imaging Field of view 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials 010309 optics Stars Optics Deep tissue 0103 physical sciences Guide star Electrical and Electronic Engineering Physical and Theoretical Chemistry 0210 nano-technology business Adaptive optics Conjugate |
| Zdroj: | Optics Communications. 459:124891 |
| ISSN: | 0030-4018 |
| DOI: | 10.1016/j.optcom.2019.124891 |
| Popis: | Adaptive optics (AO) has been widely used in optical microscopy to recover high-resolution images in deep tissue. However, in conventional AO systems, the corrected field of view (FOV) of a single guide star is usually quite limited. Here we demonstrate a conjugate AO system based on automatic optimal multiple guide stars selection algorithm to achieve large effective corrected FOV with a small number of guide stars. For a random phase mask as the scattering medium, the effective correction coverage ratio can be increased to ∼ 5.09 times than that in a conventional CAO system. For a mouse brain slice with 117 μ m thickness, the effective corrected FOV is larger than that of conventional CAO system by a factor of ∼ 2.58. Therefore, our method shows potentials in aberration correction with large FOV for deep tissue imaging |
| Databáze: | OpenAIRE |
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