Correcting sampling bias in speckle contrast imaging.
Correcting sampling bias in speckle contrast imaging.
复制标题
DOI：
10.1364/ol.474604
复制
发表时间：
2022-12-15
期刊：
影响因子：
3.6
通讯作者：
中科院分区：
文献类型：
--
作者：
当执行空间或时间激光散斑对比度成像 (LSCI) 时，对比度通常是根据包含有限数量的独立散斑颗粒 NS 的局部窗口来估计的。这导致估计的散斑对比度存在系统偏差。我们描述了一种确定 NS 的方法，并在很大程度上纠正了这种偏差，从而能够更准确地估计散斑去相关时间，而无需求助于数据的数值拟合。验证实验包括遍历或非遍历测量，包括小鼠大脑的体内成像。
When performing spatial or temporal laser speckle contrast imaging (LSCI), contrast is generally estimated from localized windows containing limited numbers of independent speckle grains NS. This leads to a systematic bias in the estimated speckle contrast. We describe an approach to determine NS and largely correct for this bias, enabling a more accurate estimation of the speckle decorrelation time without recourse to numerical fitting of data. Validation experiments are presented where measurements are ergodic or non-ergodic, including in-vivo imaging of mouse brain.