Badon Amaury, Barolle Victor, Irsch Kristina, Boccara A Claude, Fink Mathias, Aubry Alexandre
Institut Langevin, ESPCI Paris, PSL University, CNRS, 1 rue Jussieu, 75005 Paris, France.
Vision Institute/Quinze-Vingts National Eye Hospital, Sorbonne University, CNRS UMR 7210, INSERM U 068, 17 rue Moreau, 75012 Paris, France.
Sci Adv. 2020 Jul 22;6(30):eaay7170. doi: 10.1126/sciadv.aay7170. eCollection 2020 Jul.
In optical imaging, light propagation is affected by the inhomogeneities of the medium. Sample-induced aberrations and multiple scattering can strongly degrade the image resolution and contrast. On the basis of a dynamic correction of the incident and/or reflected wavefronts, adaptive optics has been used to compensate for those aberrations. However, it only applies to spatially invariant aberrations or to thin aberrating layers. Here, we propose a global and noninvasive approach based on the distortion matrix concept. This matrix basically connects any focusing point of the image with the distorted part of its wavefront in reflection. A singular value decomposition of the distortion matrix allows to correct for high-order aberrations and forward multiple scattering over multiple isoplanatic modes. Proof-of-concept experiments are performed through biological tissues including a turbid cornea. We demonstrate a Strehl ratio enhancement up to 2500 and recover a diffraction-limited resolution until a depth of 10 scattering mean free paths.
在光学成像中,光的传播会受到介质不均匀性的影响。样品引起的像差和多次散射会严重降低图像分辨率和对比度。基于对入射和/或反射波前的动态校正,自适应光学已被用于补偿这些像差。然而,它仅适用于空间不变像差或薄像差层。在此,我们提出一种基于畸变矩阵概念的全局非侵入性方法。该矩阵基本上将图像的任何聚焦点与其反射波前的畸变部分联系起来。畸变矩阵的奇异值分解能够校正高阶像差并在多个等晕模式上消除前向多次散射。通过包括浑浊角膜在内的生物组织进行了概念验证实验。我们证明斯特列尔比提高了2500倍,并在10个散射平均自由程的深度内恢复了衍射极限分辨率。