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Iterative expansion microscopy

We recently discovered it was possible to physically magnify preserved biological specimens by embedding them in a densely crosslinked polyelectrolyte gel, anchoring key labels or biomolecules to the gel, mechanically homogenizing the specimen, and then swelling the gel-specimen composite by ~4.5x i...

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Autores principales: Chang, Jae-Byum, Chen, Fei, Yoon, Young-Gyu, Jung, Erica E., Babcock, Hazen, Kang, Jeong Seuk, Asano, Shoh, Suk, Ho-Jun, Pak, Nikita, Tillberg, Paul W., Wassie, Asmamaw, Cai, Dawen, Boyden, Edward S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560071/
https://www.ncbi.nlm.nih.gov/pubmed/28417997
http://dx.doi.org/10.1038/nmeth.4261
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author Chang, Jae-Byum
Chen, Fei
Yoon, Young-Gyu
Jung, Erica E.
Babcock, Hazen
Kang, Jeong Seuk
Asano, Shoh
Suk, Ho-Jun
Pak, Nikita
Tillberg, Paul W.
Wassie, Asmamaw
Cai, Dawen
Boyden, Edward S.
author_facet Chang, Jae-Byum
Chen, Fei
Yoon, Young-Gyu
Jung, Erica E.
Babcock, Hazen
Kang, Jeong Seuk
Asano, Shoh
Suk, Ho-Jun
Pak, Nikita
Tillberg, Paul W.
Wassie, Asmamaw
Cai, Dawen
Boyden, Edward S.
author_sort Chang, Jae-Byum
collection PubMed
description We recently discovered it was possible to physically magnify preserved biological specimens by embedding them in a densely crosslinked polyelectrolyte gel, anchoring key labels or biomolecules to the gel, mechanically homogenizing the specimen, and then swelling the gel-specimen composite by ~4.5x in linear dimension, a process we call expansion microscopy (ExM). Here we describe iterative expansion microscopy (iExM), in which a sample is expanded, then a second swellable polymer mesh is formed in the space newly opened up by the first expansion, and finally the sample is expanded again. iExM expands biological specimens ~4.5 × 4.5 or ~20x, and enables ~25 nm resolution imaging of cells and tissues on conventional microscopes. We used iExM to visualize synaptic proteins, as well as the detailed architecture of dendritic spines, in mouse brain circuitry.
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spelling pubmed-55600712017-10-17 Iterative expansion microscopy Chang, Jae-Byum Chen, Fei Yoon, Young-Gyu Jung, Erica E. Babcock, Hazen Kang, Jeong Seuk Asano, Shoh Suk, Ho-Jun Pak, Nikita Tillberg, Paul W. Wassie, Asmamaw Cai, Dawen Boyden, Edward S. Nat Methods Article We recently discovered it was possible to physically magnify preserved biological specimens by embedding them in a densely crosslinked polyelectrolyte gel, anchoring key labels or biomolecules to the gel, mechanically homogenizing the specimen, and then swelling the gel-specimen composite by ~4.5x in linear dimension, a process we call expansion microscopy (ExM). Here we describe iterative expansion microscopy (iExM), in which a sample is expanded, then a second swellable polymer mesh is formed in the space newly opened up by the first expansion, and finally the sample is expanded again. iExM expands biological specimens ~4.5 × 4.5 or ~20x, and enables ~25 nm resolution imaging of cells and tissues on conventional microscopes. We used iExM to visualize synaptic proteins, as well as the detailed architecture of dendritic spines, in mouse brain circuitry. 2017-04-17 2017-06 /pmc/articles/PMC5560071/ /pubmed/28417997 http://dx.doi.org/10.1038/nmeth.4261 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Chang, Jae-Byum
Chen, Fei
Yoon, Young-Gyu
Jung, Erica E.
Babcock, Hazen
Kang, Jeong Seuk
Asano, Shoh
Suk, Ho-Jun
Pak, Nikita
Tillberg, Paul W.
Wassie, Asmamaw
Cai, Dawen
Boyden, Edward S.
Iterative expansion microscopy
title Iterative expansion microscopy
title_full Iterative expansion microscopy
title_fullStr Iterative expansion microscopy
title_full_unstemmed Iterative expansion microscopy
title_short Iterative expansion microscopy
title_sort iterative expansion microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560071/
https://www.ncbi.nlm.nih.gov/pubmed/28417997
http://dx.doi.org/10.1038/nmeth.4261
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