亮场组织学图像中神经元的三维定位

A. Štajduhar, C. Lepage, M. Judas, S. Lončarić, Alan C. Evans
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引用次数: 5

摘要

在本文中,我们提出了一种方法来推断在人脑组织切片的亮场显微图像中发现的神经元深度,该图像沿z轴在多个平面上以高分辨率数字化。单个神经元体在整个图像堆栈的深度上被分割和跟踪,并根据图像清晰度的变化在堆栈中放置在适当的z级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Localization of Neurons in Bright-Field Histological Images
In this paper, we present a method for inferring the depth of neurons found in a bright-field microscopic image of a histological section of a human brain, digitized at high resolution in multiple planes along the z-axis. Individual neuron bodies are segmented and tracked throughout the depth of the whole image stack and placed at the appropriate z-level in the stack based on variations in image sharpness.
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