Visualizing the human olfactory projection and ancillary structures in a 3D reconstruction.

IF 5.2 1区 生物学 Q1 BIOLOGY
Victoria F Low, Chinchien Lin, Shan Su, Mahyar Osanlouy, Mona Khan, Soroush Safaei, Gonzalo Maso Talou, Maurice A Curtis, Peter Mombaerts
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引用次数: 0

Abstract

Visualizing in 3D the histological microanatomy of the human olfactory projection from the olfactory mucosa in the nasal cavity to the olfactory bulbs in the cranial cavity necessitates a workflow for handling a great many sections. Here, we assembled a 3D reconstruction of a 7.45 cm3 en-bloc specimen extracted from an embalmed human cadaver. A series of 10 µm coronal sections was stained with quadruple fluorescence histology and scanned in four channels. A trained anatomist manually segmented six structures of interest in a subset of the sections to generate the ground truth. Six convolutional neural networks were then trained for automatic segmentation of these structures in 1234 sections. A high-performance computing solution was engineered to register the sections based on the fluorescence signal and segmented structures. The resulting 3D visualization offers several novel didactic opportunities of interactive exploration and virtual manipulation. By extrapolating manual counts of OSNs in a subset of sections to the calculated volume of the envelope of the entire olfactory epithelium, we computed a total of ~2.7 million OSNs in the specimen. Such empirically derived information helps assess the extent to which the organizational principles of the human olfactory projection may differ from those in mice.

在三维重建中可视化人类嗅觉投影和附属结构。
要以三维方式观察从鼻腔嗅粘膜到颅腔嗅球的人体嗅觉投射组织学微观解剖,就必须有一套能处理大量切片的工作流程。在这里,我们对从一具防腐人体尸体中提取的 7.45 立方厘米的全切标本进行了三维重建。一系列 10 微米的冠状切片采用四重荧光组织学染色,并以四个通道进行扫描。一名训练有素的解剖学家在切片的一个子集中手动分割了六个感兴趣的结构,以生成基本事实。然后对六个卷积神经网络进行训练,以自动分割 1234 个切片中的这些结构。我们设计了一种高性能计算解决方案,根据荧光信号和分割结构对切片进行注册。由此产生的三维可视化为互动探索和虚拟操作提供了多个新颖的教学机会。通过对部分切片中的OSN进行人工计数,推断出整个嗅上皮包膜的计算体积,我们计算出标本中共有约270万个OSN。这些根据经验得出的信息有助于评估人类嗅觉投射的组织原理与小鼠的不同程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Communications Biology
Communications Biology Medicine-Medicine (miscellaneous)
CiteScore
8.60
自引率
1.70%
发文量
1233
审稿时长
13 weeks
期刊介绍: Communications Biology is an open access journal from Nature Research publishing high-quality research, reviews and commentary in all areas of the biological sciences. Research papers published by the journal represent significant advances bringing new biological insight to a specialized area of research.
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