Image restoration for fluorescence lifetime imaging microscopy (FLIM).
Image restoration for fluorescence lifetime imaging microscopy (FLIM).
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DOI：
10.1364/oe.16.019192
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发表时间：
2008-11
期刊：
影响因子：
3.8
通讯作者：
Dhruv Sud;M. Mycek
中科院分区：
文献类型：
--
作者：
Dhruv Sud;M. Mycek
计算图像恢复发现荧光强度成像的广泛适用性。在这方面，FLIM图像的工作相对较少，空间分辨率也有所降低。在这项工作中，我们报告了两种不同的方法来提高FLIM图像质量，同时保持寿命精度。采用二维图像恢复算法来提高包括荧光珠、活细胞和固定组织样本在内的各种样本的门控强度图像的分辨率。该恢复方法提高了寿命图像质量，而寿命没有显着变化。此外，将恢复强度图像覆盖在原生寿命图像上提供了甚至更好的结果，其中所得寿命图具有类似于强度图的空间特征。2D和3D图像恢复也受益于计算能力的进步，因此具有提高FLIM分辨率的潜力，特别是在基于ICCD的宽场FLIM系统中，而不会牺牲重要的定量信息。
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.