Cameron Patrick, Courme Baptiste, Vernière Chloé, Pandya Raj, Faccio Daniele, Defienne Hugo
School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, UK.
Sorbonne Université, CNRS, Institut des NanoSciences de Paris, INSP, F-75005 Paris, France.
Science. 2024 Mar 8;383(6687):1142-1148. doi: 10.1126/science.adk7825. Epub 2024 Mar 7.
Adaptive optics (AO) has revolutionized imaging in fields from astronomy to microscopy by correcting optical aberrations. In label-free microscopes, however, conventional AO faces limitations because of the absence of a guide star and the need to select an optimization metric specific to the sample and imaging process. Here, we propose an AO approach leveraging correlations between entangled photons to directly correct the point spread function. This guide star-free method is independent of the specimen and imaging modality. We demonstrate the imaging of biological samples in the presence of aberrations using a bright-field imaging setup operating with a source of spatially entangled photon pairs. Our approach performs better than conventional AO in correcting specific aberrations, particularly those involving substantial defocus. Our work improves AO for label-free microscopy and could play a major role in the development of quantum microscopes.
自适应光学（AO）通过校正光学像差，彻底改变了从天文到显微镜等领域的成像技术。然而，在无标记显微镜中，传统的自适应光学面临着局限性，因为缺乏导星，且需要针对样品和成像过程选择特定的优化指标。在此，我们提出一种利用纠缠光子之间的相关性直接校正点扩散函数的自适应光学方法。这种无导星方法独立于样本和成像方式。我们使用一个配备空间纠缠光子对源的明场成像装置，展示了在存在像差情况下生物样品的成像。我们的方法在校正特定像差方面，特别是那些涉及大量离焦的像差方面，比传统自适应光学表现更好。我们的工作改进了用于无标记显微镜的自适应光学，并且可能在量子显微镜的发展中发挥重要作用。
