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Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration

We describe a new procedure for the parallel mapping of selected metals in histologically characterized tissue samples. Mapping is achieved via image registration of digital data obtained from two neighbouring cryosections by scanning the first as a histological sample and subjecting the second to l...

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Autores principales: Anyz, Jiri, Vyslouzilova, Lenka, Vaculovic, Tomas, Tvrdonova, Michaela, Kanicky, Viktor, Haase, Hajo, Horak, Vratislav, Stepankova, Olga, Heger, Zbynek, Adam, Vojtech
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223221/
https://www.ncbi.nlm.nih.gov/pubmed/28071735
http://dx.doi.org/10.1038/srep40169
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author Anyz, Jiri
Vyslouzilova, Lenka
Vaculovic, Tomas
Tvrdonova, Michaela
Kanicky, Viktor
Haase, Hajo
Horak, Vratislav
Stepankova, Olga
Heger, Zbynek
Adam, Vojtech
author_facet Anyz, Jiri
Vyslouzilova, Lenka
Vaculovic, Tomas
Tvrdonova, Michaela
Kanicky, Viktor
Haase, Hajo
Horak, Vratislav
Stepankova, Olga
Heger, Zbynek
Adam, Vojtech
author_sort Anyz, Jiri
collection PubMed
description We describe a new procedure for the parallel mapping of selected metals in histologically characterized tissue samples. Mapping is achieved via image registration of digital data obtained from two neighbouring cryosections by scanning the first as a histological sample and subjecting the second to laser ablation inductively coupled plasma mass spectrometry. This computer supported procedure enables determination of the distribution and content of metals of interest directly in the chosen histological zones and represents a substantial improvement over the standard approach, which determines these values in tissue homogenates or whole tissue sections. The potential of the described procedure was demonstrated in a pilot study that analysed Zn and Cu levels in successive development stages of pig melanoma tissue using MeLiM (Melanoma-bearing-Libechov-Minipig) model. We anticipate that the procedure could be useful for a complex understanding of the role that the spatial distribution of metals plays within tissues affected by pathological states including cancer.
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spelling pubmed-52232212017-01-17 Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration Anyz, Jiri Vyslouzilova, Lenka Vaculovic, Tomas Tvrdonova, Michaela Kanicky, Viktor Haase, Hajo Horak, Vratislav Stepankova, Olga Heger, Zbynek Adam, Vojtech Sci Rep Article We describe a new procedure for the parallel mapping of selected metals in histologically characterized tissue samples. Mapping is achieved via image registration of digital data obtained from two neighbouring cryosections by scanning the first as a histological sample and subjecting the second to laser ablation inductively coupled plasma mass spectrometry. This computer supported procedure enables determination of the distribution and content of metals of interest directly in the chosen histological zones and represents a substantial improvement over the standard approach, which determines these values in tissue homogenates or whole tissue sections. The potential of the described procedure was demonstrated in a pilot study that analysed Zn and Cu levels in successive development stages of pig melanoma tissue using MeLiM (Melanoma-bearing-Libechov-Minipig) model. We anticipate that the procedure could be useful for a complex understanding of the role that the spatial distribution of metals plays within tissues affected by pathological states including cancer. Nature Publishing Group 2017-01-10 /pmc/articles/PMC5223221/ /pubmed/28071735 http://dx.doi.org/10.1038/srep40169 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Anyz, Jiri
Vyslouzilova, Lenka
Vaculovic, Tomas
Tvrdonova, Michaela
Kanicky, Viktor
Haase, Hajo
Horak, Vratislav
Stepankova, Olga
Heger, Zbynek
Adam, Vojtech
Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
title Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
title_full Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
title_fullStr Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
title_full_unstemmed Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
title_short Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
title_sort spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223221/
https://www.ncbi.nlm.nih.gov/pubmed/28071735
http://dx.doi.org/10.1038/srep40169
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