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使用 WaferMapper 对 ATUM 超薄切片文库进行成像:一种用于神经回路 EM 重建的多尺度方法。

Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits.

机构信息

Howard Hughes Medical Institute Ashburn, VA, USA.

Department of Molecular and Cell Biology, Harvard University Cambridge, MA, USA.

出版信息

Front Neural Circuits. 2014 Jun 27;8:68. doi: 10.3389/fncir.2014.00068. eCollection 2014.

Abstract

The automated tape-collecting ultramicrotome (ATUM) makes it possible to collect large numbers of ultrathin sections quickly-the equivalent of a petabyte of high resolution images each day. However, even high throughput image acquisition strategies generate images far more slowly (at present ~1 terabyte per day). We therefore developed WaferMapper, a software package that takes a multi-resolution approach to mapping and imaging select regions within a library of ultrathin sections. This automated method selects and directs imaging of corresponding regions within each section of an ultrathin section library (UTSL) that may contain many thousands of sections. Using WaferMapper, it is possible to map thousands of tissue sections at low resolution and target multiple points of interest for high resolution imaging based on anatomical landmarks. The program can also be used to expand previously imaged regions, acquire data under different imaging conditions, or re-image after additional tissue treatments.

摘要

自动化带收集超薄切片机(ATUM)使得快速收集大量超薄切片成为可能——每天相当于 1PB 高分辨率图像。然而,即使是高通量图像采集策略也会生成慢得多的图像(目前每天约 1TB)。因此,我们开发了 WaferMapper,这是一个软件包,采用多分辨率方法对超薄切片库中的选定区域进行映射和成像。这种自动化方法选择并指导对超薄切片库(UTSL)中每个切片的相应区域进行成像,UTSL 可能包含数千个切片。使用 WaferMapper,可以以低分辨率对数千个组织切片进行映射,并基于解剖学标记物针对多个感兴趣点进行高分辨率成像。该程序还可用于扩展先前成像的区域、在不同成像条件下获取数据,或在进行额外的组织处理后重新成像。

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