Sud Dhruv, Mycek Mary-Ann
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA.
Opt Express. 2008 Nov 10;16(23):19192-200. doi: 10.1364/oe.16.019192.
Computational image restoration finds wide applicability for fluorescence intensity imaging. Relatively little work in this regard has been performed on FLIM images, which also suffer from diminished spatial resolution. In this work, we report two separate approaches to enhance FLIM image quality while maintaining lifetime accuracy. A 2D-image restoration algorithm was employed to improve resolution in gated intensity images of various samples including fluorescent beads, living cells and fixed tissue samples. The restoration approach improved lifetime image quality without significant variation in lifetime. Further, overlaying a restored-intensity image over the native lifetime image provided even better results, where the resulting lifetime map had spatial features similar to the intensity map. 2D and 3D image restoration also benefit from advances in computational power and hence holds potential for enhancing FLIM resolution, particularly in ICCD-based wide-field FLIM systems, without sacrificing vital quantitative information.
计算图像恢复在荧光强度成像中有着广泛的应用。在这方面，针对同样存在空间分辨率降低问题的荧光寿命成像（FLIM）图像所开展的工作相对较少。在本研究中，我们报告了两种不同的方法，可在保持寿命准确性的同时提高FLIM图像质量。采用了一种二维图像恢复算法来提高包括荧光微球、活细胞和固定组织样本在内的各种样本的选通强度图像的分辨率。该恢复方法改善了寿命图像质量，而寿命没有显著变化。此外，将恢复后的强度图像叠加在原始寿命图像上可得到更好的结果，所得的寿命图具有与强度图相似的空间特征。二维和三维图像恢复也受益于计算能力的进步，因此在不牺牲重要定量信息的情况下，具有提高FLIM分辨率的潜力，特别是在基于增强型电荷耦合器件（ICCD）的宽场FLIM系统中。
