Author
Listed:
- C. Shan Xu
(Howard Hughes Medical Institute)
- Song Pang
(Howard Hughes Medical Institute)
- Gleb Shtengel
(Howard Hughes Medical Institute)
- Andreas Müller
(University Hospital and Faculty of Medicine Carl Gustav Carus, TU Dresden
Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at the University Hospital Carl Gustav Carus and Faculty of Medicine of the TU Dresden
German Center for Diabetes Research (DZD e.V.))
- Alex T. Ritter
(Genentech)
- Huxley K. Hoffman
(University of Denver
University of Colorado Anschutz Medical Campus)
- Shin-ya Takemura
(Howard Hughes Medical Institute)
- Zhiyuan Lu
(Howard Hughes Medical Institute)
- H. Amalia Pasolli
(Howard Hughes Medical Institute
The Rockefeller University)
- Nirmala Iyer
(Howard Hughes Medical Institute)
- Jeeyun Chung
(Harvard T.H. Chan School of Public Health
Harvard Medical School)
- Davis Bennett
(Howard Hughes Medical Institute)
- Aubrey V. Weigel
(Howard Hughes Medical Institute)
- Melanie Freeman
(Howard Hughes Medical Institute
University of California)
- Schuyler B. Engelenburg
(University of Denver)
- Tobias C. Walther
(Harvard T.H. Chan School of Public Health
Harvard Medical School
Howard Hughes Medical Institute
Broad Institute of Harvard and MIT)
- Robert V. Farese
(Harvard T.H. Chan School of Public Health
Harvard Medical School)
- Jennifer Lippincott-Schwartz
(Howard Hughes Medical Institute)
- Ira Mellman
(Genentech)
- Michele Solimena
(University Hospital and Faculty of Medicine Carl Gustav Carus, TU Dresden
Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at the University Hospital Carl Gustav Carus and Faculty of Medicine of the TU Dresden
German Center for Diabetes Research (DZD e.V.)
Max-Planck Institute of Molecular Cell Biology and Genetics)
- Harald F. Hess
(Howard Hughes Medical Institute)
Abstract
Understanding cellular architecture is essential for understanding biology. Electron microscopy (EM) uniquely visualizes cellular structures with nanometre resolution. However, traditional methods, such as thin-section EM or EM tomography, have limitations in that they visualize only a single slice or a relatively small volume of the cell, respectively. Focused ion beam-scanning electron microscopy (FIB-SEM) has demonstrated the ability to image small volumes of cellular samples with 4-nm isotropic voxels1. Owing to advances in the precision and stability of FIB milling, together with enhanced signal detection and faster SEM scanning, we have increased the volume that can be imaged with 4-nm voxels by two orders of magnitude. Here we present a volume EM atlas at such resolution comprising ten three-dimensional datasets for whole cells and tissues, including cancer cells, immune cells, mouse pancreatic islets and Drosophila neural tissues. These open access data (via OpenOrganelle2) represent the foundation of a field of high-resolution whole-cell volume EM and subsequent analyses, and we invite researchers to explore this atlas and pose questions.
Suggested Citation
C. Shan Xu & Song Pang & Gleb Shtengel & Andreas Müller & Alex T. Ritter & Huxley K. Hoffman & Shin-ya Takemura & Zhiyuan Lu & H. Amalia Pasolli & Nirmala Iyer & Jeeyun Chung & Davis Bennett & Aubrey , 2021.
"An open-access volume electron microscopy atlas of whole cells and tissues,"
Nature, Nature, vol. 599(7883), pages 147-151, November.
Handle:
RePEc:nat:nature:v:599:y:2021:i:7883:d:10.1038_s41586-021-03992-4
DOI: 10.1038/s41586-021-03992-4
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Chixiang Lu & Kai Chen & Heng Qiu & Xiaojun Chen & Gu Chen & Xiaojuan Qi & Haibo Jiang, 2024.
"Diffusion-based deep learning method for augmenting ultrastructural imaging and volume electron microscopy,"
Nature Communications, Nature, vol. 15(1), pages 1-14, December.
- Güneş Parlakgül & Song Pang & Leonardo L. Artico & Nina Min & Erika Cagampan & Reyna Villa & Renata L. S. Goncalves & Grace Yankun Lee & C. Shan Xu & Gökhan S. Hotamışlıgil & Ana Paula Arruda, 2024.
"Spatial mapping of hepatic ER and mitochondria architecture reveals zonated remodeling in fasting and obesity,"
Nature Communications, Nature, vol. 15(1), pages 1-18, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:599:y:2021:i:7883:d:10.1038_s41586-021-03992-4. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.