Geometrical characterization of fluorescently labelled surfaces from noisy 3D microscopy data: GEOMETRICAL CHARACTERIZATION OF FLUORESCENTLY-LABELLED SURFACES
Geometrical characterization of fluorescently labelled surfaces from noisy 3D microscopy data: GEOMETRICAL CHARACTERIZATION OF FLUORESCENTLY-LABELLED SURFACES
复制标题
来自噪声 3D 显微镜数据的荧光标记表面的几何特征：荧光标记表面的几何特征
DOI：
10.1111/jmi.12624
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发表时间：
2018
影响因子：
2
通讯作者：
CAMPÀS, OTGER
中科院分区：
文献类型：
--
作者：
SHELTON, ELIJAH;SERWANE, FRIEDHELM;CAMPÀS, OTGER
现代荧光显微镜能够对生物和惰性系统进行快速3D成像。在许多研究中，重要的是检测物体的表面，并定量地描述其局部几何形状，包括其平均曲率。我们提出了一种完全自动化的算法来从3D荧光图像中确定物体的位置和曲率，例如使用共聚焦或光片显微镜获得的图像。该算法的目标是高精度地重建具有球形拓扑结构和球形几何轻微变形的表面标记对象，而不是重建保真度较低的任意变形对象。使用已知的几何特征和球形物体的实验数据的合成数据，我们表征了该算法的准确性在3D荧光成像中通常遇到的条件和参数的范围内。我们表明，该算法可以检测到的表面的位置，并获得一个地图的局部平均曲率，相对误差通常低于2%和20%，分别，即使在存在大量的噪声水平。最后，我们应用该算法来分析嵌入在多细胞聚集体和变形的细胞力的荧光标记的油滴的形状和曲率图。
Modern fluorescence microscopy enables fast 3D imaging of biological and inert systems alike. In many studies, it is important to detect the surface of objects and quantitatively characterize its local geometry, including its mean curvature. We present a fully automated algorithm to determine the location and curvatures of an object from 3D fluorescence images, such as those obtained using confocal or light‐sheet microscopy. The algorithm aims at reconstructing surface labelled objects with spherical topology and mild deformations from the spherical geometry with high accuracy, rather than reconstructing arbitrarily deformed objects with lower fidelity. Using both synthetic data with known geometrical characteristics and experimental data of spherical objects, we characterize the algorithm's accuracy over the range of conditions and parameters typically encountered in 3D fluorescence imaging. We show that the algorithm can detect the location of the surface and obtain a map of local mean curvatures with relative errors typically below 2% and 20%, respectively, even in the presence of substantial levels of noise. Finally, we apply this algorithm to analyse the shape and curvature map of fluorescently labelled oil droplets embedded within multicellular aggregates and deformed by cellular forces.