AUTOMATED TRACING AND VOLUME MEASUREMENTS OF NEURONS FROM 3-D CONFOCAL FLUORESCENCE MICROSCOPY DATA
AUTOMATED TRACING AND VOLUME MEASUREMENTS OF NEURONS FROM 3-D CONFOCAL FLUORESCENCE MICROSCOPY DATA
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DOI：
10.1111/j.1365-2818.1994.tb03433.x
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发表时间：
1994-02-01
期刊：
影响因子：
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通讯作者：
TURNER, JN
中科院分区：
文献类型：
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作者：
COHEN, AR;ROYSAM, B;TURNER, JN
三维（3-D）图像分析算法和实验结果证明了从荧光共聚焦显微镜数据全自动跟踪神经元的可行性。自动分析的输入是使用共聚焦扫描激光显微镜获得的一组连续光学切片。系统的输出是与三维图像数据在空间上对齐的神经元拓扑的标记图表示。使用这种表示可以进行各种拓扑和度量分析。例如，可以对神经元的特定部分进行精确的体积、长度、直径和弯曲度的测量，这些部分是根据图形表示指定的。对于一组具有选择性染色神经元的样本场，证明了该方法的有效性。需要进一步的工作来完善该方法，使其适用于涉及多个相互交织的神经元和极其精细的树突结构的复杂数据。
Three-dimensional (3-D) image analysis algorithms and experimental results that demonstrate the feasibility of fully automated tracing of neurons from fluorescence confocal microscopy data are presented. The input to the automated analysis is a set of successive optical slices that have been acquired using a confocal scanning laser microscope. The output of the system is a labelled graph representation of the neuronal topology that is spatially aligned with the 3-D image data. A variety of topological and metric analyses can be carried out using this representation. For instance, precise measurements of volumes, lengths, diameters and tortuosities can be made over specific portions of the neuron that are specified in terms of the graph representation. The effectiveness of the method is demonstrated for a set of sample fields featuring selectively stained neurons. Additional work will be needed to refine the method for unsupervised use with complex data involving multiple intertwined neurons and extremely fine dendritic structures.