Sievers Jan, Elsner Ricardo, Bohn Sebastian, Schünemann Melanie, Stolz Heinrich, Guthoff Rudolf F, Stachs Oliver, Sperlich Karsten
Department of Ophthalmology, Rostock University Medical Center, 18057 Rostock, Germany.
Department Life, Light & Matter, University of Rostock, 18055 Rostock, Germany.
Biomed Opt Express. 2022 Feb 1;13(2):1087-1101. doi: 10.1364/BOE.446869.
Cross-sectional images of three-dimensional point spread functions of intraocular lenses are used to study their image formation. To obtain those, light sheet-based methods are established. Due to the non-negligible thicknesses of the light sheets, the image quality of the cross-sectional images is constrained. To overcome this hurdle, we present a dedicated evaluation algorithm to increase image quality in the post-processing step. Additionally, we compare the developed- with the light sheet method based on our own investigations of a multifocal diffractive intraocular lens conducted in an in-house designed optical bench. The comparative study showed the clear superiority of the newly developed method in terms of image quality, fine structure visibility, and signal-to-noise ratio compared to the light sheet based method. However, since the algorithm assumes a rotationally symmetrical point spread function, it is only suitable for all rotationally symmetrical lenses.
人工晶状体三维点扩散函数的横截面图像用于研究其成像情况。为获取这些图像，建立了基于光片的方法。由于光片具有不可忽略的厚度，横截面图像的质量受到限制。为克服这一障碍，我们提出了一种专用评估算法，以在后期处理步骤中提高图像质量。此外，基于我们在内部设计的光学平台上对多焦点衍射人工晶状体进行的研究，我们将新开发的方法与光片法进行了比较。对比研究表明，与基于光片的方法相比，新开发的方法在图像质量、精细结构可见性和信噪比方面具有明显优势。然而，由于该算法假设点扩散函数具有旋转对称性，因此它仅适用于所有旋转对称的透镜。
