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Nanoscale imaging of clinical specimens using pathology-optimized expansion microscopy

Overview of attention for article published in Nature Biotechnology, July 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Citations

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180 Dimensions

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mendeley
439 Mendeley
Title
Nanoscale imaging of clinical specimens using pathology-optimized expansion microscopy
Published in
Nature Biotechnology, July 2017
DOI 10.1038/nbt.3892
Pubmed ID
Authors

Yongxin Zhao, Octavian Bucur, Humayun Irshad, Fei Chen, Astrid Weins, Andreea L Stancu, Eun-Young Oh, Marcello DiStasio, Vanda Torous, Benjamin Glass, Isaac E Stillman, Stuart J Schnitt, Andrew H Beck, Edward S Boyden

Abstract

Expansion microscopy (ExM), a method for improving the resolution of light microscopy by physically expanding a specimen, has not been applied to clinical tissue samples. Here we report a clinically optimized form of ExM that supports nanoscale imaging of human tissue specimens that have been fixed with formalin, embedded in paraffin, stained with hematoxylin and eosin, and/or fresh frozen. The method, which we call expansion pathology (ExPath), converts clinical samples into an ExM-compatible state, then applies an ExM protocol with protein anchoring and mechanical homogenization steps optimized for clinical samples. ExPath enables ∼70-nm-resolution imaging of diverse biomolecules in intact tissues using conventional diffraction-limited microscopes and standard antibody and fluorescent DNA in situ hybridization reagents. We use ExPath for optical diagnosis of kidney minimal-change disease, a process that previously required electron microscopy, and we demonstrate high-fidelity computational discrimination between early breast neoplastic lesions for which pathologists often disagree in classification. ExPath may enable the routine use of nanoscale imaging in pathology and clinical research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 91 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 439 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 439 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 98 22%
Researcher 86 20%
Student > Bachelor 42 10%
Student > Master 40 9%
Student > Doctoral Student 21 5%
Other 63 14%
Unknown 89 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 102 23%
Agricultural and Biological Sciences 51 12%
Engineering 46 10%
Neuroscience 45 10%
Chemistry 29 7%
Other 64 15%
Unknown 102 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 193. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2024.
All research outputs
#206,997
of 25,559,053 outputs
Outputs from Nature Biotechnology
#425
of 8,589 outputs
Outputs of similar age
#4,162
of 307,794 outputs
Outputs of similar age from Nature Biotechnology
#7
of 88 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,589 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.4. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 307,794 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.