Department of Mathematics, University of California, Irvine, California 926197, USA.
Opt Lett. 2010 Jun 1;35(11):1899-901. doi: 10.1364/OL.35.001899.
In fluorescence imaging, both fluorescence yield and lifetime are of great importance. Traditionally, with the frequency-domain data, two parameters can be directly recovered through a nonlinear formulation. However, the reconstruction accuracy highly depends on initial guesses. To overcome this hurdle, we propose the linear scheme via an inverse complex-source formulation. Using the real and imaginary parts of the frequency-domain data, the proposed method is fully linear; it is not sensitive to initial guesses and is stable with high-level noise. Meanwhile, the algorithm is efficient, and the reconstruction takes one or a few iterations. In addition, the colocalization constraint due to the unique feature of fluorescence imaging is imposed to enhance algorithm performance. The algorithms are tested with simulated data.
在荧光成像中,荧光产率和寿命都非常重要。传统上,通过频域数据,可以通过非线性公式直接恢复两个参数。然而,重建精度高度依赖于初始猜测。为了克服这一障碍,我们通过逆复源公式提出了线性方案。使用频域数据的实部和虚部,所提出的方法是完全线性的;它对初始猜测不敏感,并且在存在高水平噪声时稳定。同时,该算法效率高,重建只需一次或几次迭代。此外,由于荧光成像的独特特征,施加了共定位约束以提高算法性能。这些算法已通过模拟数据进行了测试。