Cited by 282Advanced Electron Microscopy Techniques and ApplicationsCell Image Analysis TechniquesAdvanced Fluorescence Microscopy Techniques

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

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Hayworth, Kenneth J., Morgan, Josh L., Schalek, Richard, Berger, Daniel R., Hildebrand, David G. C., Lichtman, Jeff W.·2014·Frontiers in Neural Circuits

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.

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Crossref · 10.3389/fncir.2014.00068

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  • The masking of membrane specializations is probably one of the reasons why many ultrastructural studies that used high concentrations of potassium ferrocyanide/ferricyanide (1.5-3.0%) provided no data on SS.

    “This is probably one of the reasons why many ultrastructural studies that utilized high concentrations of potassium ferrocyanide/ferricyanide (1.5–3.0%) provided no data on SS (e.g., Harris and Stevens, 1989; Hayworth et al., 2014; Yakoubi et al., 2019a; Yin et al., 2020; Gour et al., 2021; Phelps et al., 2021; Peddie et al., 2022; Turner et al., 2022).”

    From Unambiguous identification of asymmetric and symmetric synapses using volume electron microscopy (2024) · cites this paper as Hayworth et al., 2014

    In Sample preparation > Tissue processing (page not provided), Hayworth et al. say they often use (R)OTO staining and that its thickening and darkening of membranes can make synapses harder to identify in single sections. Our copy does not specify 1.5–3.0% potassium ferrocyanide/ferricyanide or say that masking membrane specializations caused the absence of SS data. (LLM, conf=0.82)

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Research works printed but not linked: 10

  1. Bogner A. Jouneau P. H. Thollet G. Basset D. Gauthier C. (2007). A history of scanning electron microscopy developments: towards “wet-STEM” imaging. Micron 38, 390– 401 10.1016/j.micron.2006.06.008 16990007 · DOI
  2. Gay H. Anderson T. F. (1954). Serial sections for electron microscopy. Science 120, 1071– 1073 10.1126/science.120.3130.1071 13216224 · DOI
  3. Harris K. Perry E. Bourne J. Feinberg M. Ostroff L. Hurlburt J. (2006). Uniform serial sectioning for transmission electron microscopy. J. Neurosci. 26, 12101– 12103 10.1523/JNEUROSCI.3994-06.2006 17122034 PMC6675417 · DOI
  4. Hayat M. A. (2000). Principles and Techniques of Electron Microscopy: Biological Applications. Cambridge; New York: Cambridge University Press
  5. Joy D. C. (1991). The theory and practice of high-resolution scanning electron microscopy. Ultramicroscopy 37, 216– 233 10.1016/0304-3991(91)90020-7 1481281 · DOI
  6. Knott G. Marchman H. Wall D. Lich B. (2008). Serial section scanning electron microscopy of adult brain tissue using focused ion beam milling. J. Neurosci. 28, 2959– 2964 10.1523/JNEUROSCI.3189-07.2008 18353998 PMC6670719 · DOI · Paper page
  7. MacLean J. N. Fenstermaker V. Watson B. O. Yuste R. (2006). A visual thalamocortical slice. Nat. Methods 3, 129– 134 10.1038/nmeth849 16432523 · DOI
  8. Morgan J. L. Lichtman J. W. (2013). Why not connectomics? Nat. Methods 10, 494– 500 10.1038/nmeth.2480 23722208 PMC4184185 · DOI
  9. Schalek R. Kasthuri N. Hayworth K. Berger D. Tapia J. Morgan J. (2011). Development of high-throughput, high-resolution 3D reconstruction of large-volume biological tissue using automated tape collection ultramicrotomy and scanning electron microscopy. Microsc. Microanal. 17, 966– 967 10.1017/S1431927611005708 · DOI
  10. Tapia J. C. Kasthuri N. Hayworth K. J. Schalek R. Lichtman J. W. Smith S. J. Buchanan J. (2012). High-contrast en bloc staining of neuronal tissue for field emission scanning electron microscopy. Nat. Protoc. 7, 193– 206 10.1038/nprot.2011.439 22240582 PMC3701260 · DOI · Paper page

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Authors
Hayworth, K. J., Morgan, J. L., Schalek, R., Berger, D. R., Hildebrand, D. G. C., & Lichtman, J. W.
Affiliations
  • Howard Hughes Medical Institute (US)
  • Harvard University (US)
Corresponding author
  • Hayworth, Kenneth J.
  • Morgan, Josh L.
Venue
Frontiers in Neural Circuits
Published
2014-06-27
Volume
8
Pages
68-68
ISSN
1662-5110 (ISSN-L)
OpenAlex
W2157151515
Cited by
282
References
2
Citations by year
2026: 17 · 2025: 24 · 2024: 26 · 2023: 19 · 2022: 18 · 2021: 29 · 2020: 20 · 2019: 23 · 2018: 26 · 2017: 21 · 2016: 27 · 2015: 29 · 2014: 3
FWCI
14.55
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Neural Circuits (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institutes of Health
  • National Heart, Lung, and Blood Institute (T32HL007901)
  • National Institute of Mental Health (P50MH094271, 5T32MH20017, T32MH020017)
  • National Institute of Neurological Disorders and Stroke (U01NS090449, R01NS076467, TR01 1R01NS076467-01)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Advanced Electron Microscopy Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
Keywords
multiscale imaging, neural circuit reconstruction, high-throughput imaging
MeSH terms
Animals, Brain, Brain Mapping, Image Processing, Computer-Assisted, Microscopy, Electron, Microtomy, Software, Staining and Labeling, Tissue Embedding, Imaging, Three-Dimensional

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