Matches in SemOpenAlex for { <https://semopenalex.org/work/W4324295535> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4324295535 abstract "Mid-IR imaging combined with machine learning is a powerful combination for non-destructive, label free chemical imaging. Key applications include computational staining and tissue classification. These applications are enabled by information rich mid-IR hyperspectral images and reliable ground truth data. As novel, nano-scale spatial resolution mid-IR spectroscopy techniques are finding broader use we realize that ground truth datasets will be needed at the nano-scale as well. Here, we propose image fusion and registration of nano-scale images as a generic approach for establishing such datasets. We demonstrate the viability of this approach for imaging the sub-cellular distribution of proteins and specific enzymes. Furthermore, we demonstrate that image registration of AFM-IR spectral data is a key step in processing AFM-IR chemical imaging data in general." @default.
- W4324295535 created "2023-03-16" @default.
- W4324295535 creator A5011969758 @default.
- W4324295535 creator A5020605946 @default.
- W4324295535 creator A5066619232 @default.
- W4324295535 creator A5067274035 @default.
- W4324295535 creator A5084614459 @default.
- W4324295535 date "2023-03-17" @default.
- W4324295535 modified "2023-09-27" @default.
- W4324295535 title "Image processing as basis for chemometrics in photothermal atomic force microscopy infrared imaging" @default.
- W4324295535 cites W2000431734 @default.
- W4324295535 cites W2009967254 @default.
- W4324295535 cites W2011055829 @default.
- W4324295535 cites W2011301426 @default.
- W4324295535 cites W2015159529 @default.
- W4324295535 cites W2081321639 @default.
- W4324295535 cites W2124386111 @default.
- W4324295535 cites W2561531429 @default.
- W4324295535 cites W2604239613 @default.
- W4324295535 cites W2782743518 @default.
- W4324295535 cites W3028508082 @default.
- W4324295535 cites W3091165239 @default.
- W4324295535 cites W3099878876 @default.
- W4324295535 cites W3215284880 @default.
- W4324295535 cites W4285232216 @default.
- W4324295535 doi "https://doi.org/10.1117/12.2651424" @default.
- W4324295535 hasPublicationYear "2023" @default.
- W4324295535 type Work @default.
- W4324295535 citedByCount "0" @default.
- W4324295535 crossrefType "proceedings-article" @default.
- W4324295535 hasAuthorship W4324295535A5011969758 @default.
- W4324295535 hasAuthorship W4324295535A5020605946 @default.
- W4324295535 hasAuthorship W4324295535A5066619232 @default.
- W4324295535 hasAuthorship W4324295535A5067274035 @default.
- W4324295535 hasAuthorship W4324295535A5084614459 @default.
- W4324295535 hasConcept C115961682 @default.
- W4324295535 hasConcept C119857082 @default.
- W4324295535 hasConcept C120665830 @default.
- W4324295535 hasConcept C121332964 @default.
- W4324295535 hasConcept C127313418 @default.
- W4324295535 hasConcept C146849305 @default.
- W4324295535 hasConcept C147080431 @default.
- W4324295535 hasConcept C151304367 @default.
- W4324295535 hasConcept C153180895 @default.
- W4324295535 hasConcept C154945302 @default.
- W4324295535 hasConcept C158355884 @default.
- W4324295535 hasConcept C158479148 @default.
- W4324295535 hasConcept C159078339 @default.
- W4324295535 hasConcept C166704113 @default.
- W4324295535 hasConcept C205372480 @default.
- W4324295535 hasConcept C2778755073 @default.
- W4324295535 hasConcept C31972630 @default.
- W4324295535 hasConcept C41008148 @default.
- W4324295535 hasConcept C62520636 @default.
- W4324295535 hasConcept C62649853 @default.
- W4324295535 hasConcept C65597285 @default.
- W4324295535 hasConcept C69744172 @default.
- W4324295535 hasConcept C9417928 @default.
- W4324295535 hasConceptScore W4324295535C115961682 @default.
- W4324295535 hasConceptScore W4324295535C119857082 @default.
- W4324295535 hasConceptScore W4324295535C120665830 @default.
- W4324295535 hasConceptScore W4324295535C121332964 @default.
- W4324295535 hasConceptScore W4324295535C127313418 @default.
- W4324295535 hasConceptScore W4324295535C146849305 @default.
- W4324295535 hasConceptScore W4324295535C147080431 @default.
- W4324295535 hasConceptScore W4324295535C151304367 @default.
- W4324295535 hasConceptScore W4324295535C153180895 @default.
- W4324295535 hasConceptScore W4324295535C154945302 @default.
- W4324295535 hasConceptScore W4324295535C158355884 @default.
- W4324295535 hasConceptScore W4324295535C158479148 @default.
- W4324295535 hasConceptScore W4324295535C159078339 @default.
- W4324295535 hasConceptScore W4324295535C166704113 @default.
- W4324295535 hasConceptScore W4324295535C205372480 @default.
- W4324295535 hasConceptScore W4324295535C2778755073 @default.
- W4324295535 hasConceptScore W4324295535C31972630 @default.
- W4324295535 hasConceptScore W4324295535C41008148 @default.
- W4324295535 hasConceptScore W4324295535C62520636 @default.
- W4324295535 hasConceptScore W4324295535C62649853 @default.
- W4324295535 hasConceptScore W4324295535C65597285 @default.
- W4324295535 hasConceptScore W4324295535C69744172 @default.
- W4324295535 hasConceptScore W4324295535C9417928 @default.
- W4324295535 hasLocation W43242955351 @default.
- W4324295535 hasOpenAccess W4324295535 @default.
- W4324295535 hasPrimaryLocation W43242955351 @default.
- W4324295535 hasRelatedWork W1525797510 @default.
- W4324295535 hasRelatedWork W2038075255 @default.
- W4324295535 hasRelatedWork W2048294647 @default.
- W4324295535 hasRelatedWork W2070998557 @default.
- W4324295535 hasRelatedWork W2075474664 @default.
- W4324295535 hasRelatedWork W2147047527 @default.
- W4324295535 hasRelatedWork W2321053660 @default.
- W4324295535 hasRelatedWork W2994064788 @default.
- W4324295535 hasRelatedWork W3006630499 @default.
- W4324295535 hasRelatedWork W4324295535 @default.
- W4324295535 isParatext "false" @default.
- W4324295535 isRetracted "false" @default.
- W4324295535 workType "article" @default.