Robot R&D Group, Factory Automation Technology Team, Global Technology Center, Samsung Electronics, 129, Samsung-ro, Yeongtong, Suwon 443-742, Gyeonggi, Korea.
Cells. 2021 Feb 15;10(2):397. doi: 10.3390/cells10020397.
To investigate the cellular structure, biomedical researchers often obtain three-dimensional images by combining two-dimensional images taken along the z axis. However, these images are blurry in all directions due to diffraction limitations. This blur becomes more severe when focusing further inside the specimen as photons in deeper focus must traverse a longer distance within the specimen. This type of blur is called depth-variance. Moreover, due to lens imperfection, the blur has asymmetric shape. Most deconvolution solutions for removing blur assume depth-invariant or x-y symmetric blur, and presently, there is no open-source for depth-variant asymmetric deconvolution. In addition, existing datasets for deconvolution microscopy also assume invariant or x-y symmetric blur, which are insufficient to reflect actual imaging conditions. DVDeconv, that is a set of MATLAB functions with a user-friendly graphical interface, has been developed to address depth-variant asymmetric blur. DVDeconv includes dataset, depth-variant asymmetric point spread function generator, and deconvolution algorithms. Experimental results using DVDeconv reveal that depth-variant asymmetric deconvolution using DVDeconv removes blurs accurately. Furthermore, the dataset in DVDeconv constructed can be used to evaluate the performance of microscopy deconvolution to be developed in the future.
为了研究细胞结构，生物医学研究人员通常通过结合沿着 z 轴拍摄的二维图像来获得三维图像。然而，由于衍射限制，这些图像在各个方向都是模糊的。当进一步聚焦在样本内部时，由于较深焦点的光子必须在样本内穿过更长的距离，这种模糊会变得更加严重。这种模糊称为深度变化。此外，由于镜头的不完善，模糊具有非对称的形状。大多数用于去除模糊的反卷积解决方案都假设深度不变或 x-y 对称模糊，目前还没有用于深度变化非对称反卷积的开源工具。此外，用于反卷积显微镜的现有数据集也假设不变或 x-y 对称模糊，这不足以反映实际的成像条件。DVDeconv 是一组带有用户友好图形界面的 MATLAB 函数，已被开发用于解决深度变化非对称模糊问题。DVDeconv 包括数据集、深度变化非对称点扩散函数生成器和反卷积算法。使用 DVDeconv 的实验结果表明，使用 DVDeconv 进行的深度变化非对称反卷积可以准确地去除模糊。此外，DVDeconv 中构建的数据集可用于评估未来开发的显微镜反卷积的性能。
