Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985904%3A_____%2F17%3A00472227" target="_blank" >RIV/67985904:_____/17:00472227 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21230/17:00307540 RIV/68407700:21730/17:00307540 RIV/00216224:14310/17:00096114 RIV/62156489:43210/17:43910835 RIV/00216305:26620/17:PU122784
Výsledek na webu
<a href="http://dx.doi.org/10.1038/srep40169" target="_blank" >http://dx.doi.org/10.1038/srep40169</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/srep40169" target="_blank" >10.1038/srep40169</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10609 - Biochemical research methods
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Scientific Reports
ISSN
2045-2322
e-ISSN
—
Svazek periodika
7
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
13
Strana od-do
—
Kód UT WoS článku
000392234200001
EID výsledku v databázi Scopus
2-s2.0-85009230317