<div class="csl-bib-body">
<div class="csl-entry">Balbekova, A., Lohninger, J., van Tilborg, G., Dijkhuizen, R., Bonta, M., Limbeck, A., Lendl, B., Al-Saad, K. A., Ali, M., Celikic, M., & Ofner, J. (2018). Fourier Transform Infrared (FT-IR) and Laser Ablation Inductively Coupled Plasma-Mass Spectrometry (LA- ICP-MS) Imaging of Cerebral Ischemia: Combined Analysis of Rat Brain Thin Cuts Toward Improved Tissue Classification. <i>Applied Spectroscopy</i>, <i>72</i>(2), 241–250. https://doi.org/10.1177/0003702817734618</div>
</div>
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dc.identifier.issn
0003-7028
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/144805
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dc.description.abstract
Microspectroscopic techniques are widely used to complement histological studies. Due to recent developments in the
field of chemical imaging, combined chemical analysis has become attractive. This technique facilitates a deepened analysis
compared to single techniques or side-by-side analysis. In this study, rat brains harvested one week after induction of
photothrombotic stroke were investigated. Adjacent thin cuts from rats' brains were imaged using Fourier transform
infrared (FT-IR) microspectroscopy and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The
LA-ICP-MS data were normalized using an internal standard (a thin gold layer). The acquired hyperspectral data cubes were
fused and subjected to multivariate analysis. Brain regions affected by stroke as well as unaffected gray and white matter
were identified and classified using a model based on either partial least squares discriminant analysis (PLS-DA) or random
decision forest (RDF) algorithms. The RDF algorithm demonstrated the best results for classification. Improved classification
was observed in the case of fused data in comparison to individual data sets (either FT-IR or LA-ICP-MS). Variable
importance analysis demonstrated that both molecular and elemental content contribute to the improved RDF classification.
Univariate spectral analysis identified biochemical properties of the assigned tissue types. Classification of multisensor
hyperspectral data sets using an RDF algorithm allows access to a novel and in-depth understanding of biochemical
processes and solid chemical allocation of different brain regions.
en
dc.language.iso
en
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dc.publisher
SAGE PUBLICATIONS INC
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dc.relation.ispartof
Applied Spectroscopy
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dc.subject
Instrumentation
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dc.subject
Spectroscopy
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dc.title
Fourier Transform Infrared (FT-IR) and Laser Ablation Inductively Coupled Plasma-Mass Spectrometry (LA- ICP-MS) Imaging of Cerebral Ischemia: Combined Analysis of Rat Brain Thin Cuts Toward Improved Tissue Classification
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
241
-
dc.description.endpage
250
-
dc.type.category
Original Research Article
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tuw.container.volume
72
-
tuw.container.issue
2
-
tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
wb.publication.intCoWork
International Co-publication
-
tuw.researchTopic.id
M2
-
tuw.researchTopic.name
Materials Characterization
-
tuw.researchTopic.value
100
-
dcterms.isPartOf.title
Applied Spectroscopy
-
tuw.publication.orgunit
E164-01-2 - Forschungsgruppe Oberflächen-, Spurenanalytik und Chemometrie
-
tuw.publication.orgunit
E164-02-1 - Forschungsgruppe Prozessanalytik
-
tuw.publisher.doi
10.1177/0003702817734618
-
dc.identifier.eissn
1943-3530
-
dc.description.numberOfPages
10
-
tuw.author.orcid
0000-0003-2911-6931
-
tuw.author.orcid
0000-0001-5042-2445
-
tuw.author.orcid
0000-0003-3838-5842
-
wb.sci
true
-
wb.sciencebranch
Chemie
-
wb.sciencebranch.oefos
1040
-
wb.facultyfocus
Chemistry and Technology of Materials
de
wb.facultyfocus
Chemistry and Technology of Materials
en
wb.facultyfocus.faculty
E150
-
item.cerifentitytype
Publications
-
item.cerifentitytype
Publications
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.fulltext
no Fulltext
-
item.grantfulltext
none
-
item.languageiso639-1
en
-
item.openairetype
Artikel
-
item.openairetype
Article
-
crisitem.author.dept
E164 - Institut für Chemische Technologien und Analytik
-
crisitem.author.dept
E164 - Institut für Chemische Technologien und Analytik
-
crisitem.author.dept
E164 - Institut für Chemische Technologien und Analytik
-
crisitem.author.dept
E164-01-2 - Forschungsgruppe Oberflächen-, Spurenanalytik und Chemometrie
-
crisitem.author.dept
E164-02 - Forschungsbereich Umwelt-, Prozessanalytik und Sensoren
-
crisitem.author.dept
E164 - Institut für Chemische Technologien und Analytik
-
crisitem.author.dept
E164 - Institut für Chemische Technologien und Analytik
-
crisitem.author.orcid
0000-0001-5042-2445
-
crisitem.author.orcid
0000-0003-3838-5842
-
crisitem.author.parentorg
E150 - Fakultät für Technische Chemie
-
crisitem.author.parentorg
E150 - Fakultät für Technische Chemie
-
crisitem.author.parentorg
E150 - Fakultät für Technische Chemie
-
crisitem.author.parentorg
E164-01 - Forschungsbereich Imaging und Instrumentelle Analytische Chemie
-
crisitem.author.parentorg
E164 - Institut für Chemische Technologien und Analytik