Zhang Yongliang, Li David Day-Uei
Centre for Biophotonics, Strathclyde Institute of Pharmacy & Biomedical Sciences, University of Strathclyde, Glasgow, Scotland, UK. College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Phys Med Biol. 2017 Feb 21;62(4):1632-1636. doi: 10.1088/1361-6560/aa522f.
This comment is to clarify that Poisson noise instead of Gaussian noise shall be included to assess the performances of least-squares deconvolution with Laguerre expansion (LSD-LE) for analysing fluorescence lifetime imaging data obtained from time-resolved systems. Moreover, we also corrected an equation in the paper. As the LSD-LE method is rapid and has the potential to be widely applied not only for diagnostic but for wider bioimaging applications, it is desirable to have precise noise models and equations.
本评论旨在澄清，在评估用于分析从时间分辨系统获得的荧光寿命成像数据的基于拉盖尔展开的最小二乘反卷积（LSD-LE）的性能时，应纳入泊松噪声而非高斯噪声。此外，我们还修正了论文中的一个方程。由于LSD-LE方法速度快且不仅在诊断方面而且在更广泛的生物成像应用中具有广泛应用的潜力，因此需要精确的噪声模型和方程。
