An open-access volume electron microscopy atlas of whole cells and tissues.
An open-access volume electron microscopy atlas of whole cells and tissues.
复制标题
DOI：
10.1038/s41586-021-03992-4
复制
发表时间：
2021-11
期刊：
影响因子：
64.8
通讯作者：
中科院分区：
文献类型：
--
作者：
理解细胞结构对于理解生物学至关重要。电子显微镜（EM）以纳米分辨率独特地可视化细胞结构。然而，传统的方法，如薄切片EM或EM断层扫描，具有局限性，因为它们分别仅可视化单个切片或相对小体积的细胞。聚焦离子束扫描电子显微镜（FIB-SEM）显示了在4 nm各向同性体素下对细胞样品进行成像的能力，可成像体积相当有限。在这里，我们提出了3D EM图像的整个细胞和组织的两个数量级的增加，在4纳米体素的可成像量。目前还不存在这种具有精细分辨率尺度和大样本量的组合数据，并且通过FIB研磨的更高精度和稳定性的进步以及增强的信号检测和更快的SEM扫描来实现。更重要的是，我们已经生成了一个体积EM图谱，包括10个不同的全细胞和组织的数据集，从癌细胞到免疫细胞，从小鼠胰岛到果蝇神经组织。这些开放获取的数据（通过OpenOrganelle）代表了一个基础，为高分辨率全细胞体积EM和后续分析的新领域奠定了基础，并邀请生物学家探索这一新范式并提出全新的问题。
Understanding cellular architecture is essential for understanding biology. Electron microscopy (EM) uniquely visualizes cellular structures with nanometer resolution. However, traditional methods, such as thin-section EM or EM tomography, have limitations inasmuch as they only visualize a single slice or a relatively small volume of the cell, respectively. Focused Ion Beam-Scanning Electron Microscopy (FIB-SEM) demonstrated the ability to image cellular samples at 4-nm isotropic voxels with rather limited imageable volume. Here, we present 3D EM images of whole cells and tissues with two orders of magnitude increases in imageable volume at 4-nm voxels. Such data with a combined fine resolution scale and large sample size do not currently exist, and are enabled by the advances in higher precision and stability of FIB milling, together with enhanced signal detection and faster SEM scanning. More importantly, we have generated a volume EM atlas encompassing ten diverse datasets of whole cells and tissues, from cancer cells to immune cells, and from mouse pancreatic islets to Drosophila neural tissues. These open-access data (via OpenOrganelle) represent a foundation to nucleate a new field of high-resolution whole-cell volume EM and subsequent analyses, and invite biologists to explore this new paradigm and pose fundamentally new questions.
登录
查看更多内容
影响因子：
3
作者：
Kremer, JR;Mastronarde, DN;McIntosh, JR
通讯作者：
McIntosh, JR
影响因子：
64.8
作者：
Stinchcombe, Jane C.;Majorovits, Endre;Griffiths, Gillian M.
通讯作者：
Griffiths, Gillian M.
影响因子：
64.8
作者：
Heinrich, Larissa;Bennett, Davis;Weigel, Aubrey V.
通讯作者：
Weigel, Aubrey V.
影响因子：
7.7
作者：
Takemura, Shin-ya;Nern, Aljoscha;Meinertzhagen, Ian A.
通讯作者：
Meinertzhagen, Ian A.
影响因子：
2.7
作者：
van der Walt, Stefan;Schonberger, Johannes L.;Yu, Tony
通讯作者：
Yu, Tony