Blood identified and quantified in formalin fixed paraffin embedded lung sections using eosin fluorescence.

Eosin Y is a common stain in histology. Although usually used for colourimetric imaging where the dye is used to stain pink/red a range of structures in the tissue, Eosin Y is also a fluorochrome, and has been used in this manner for decades. In this study our aim was to investigate the fluorescence...

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Publicado en:Histochemistry & Cell Biology Vol. 158; no. 4; pp. 383 - 389
Autores principales: Francis, Robert J., Ferguson, Deborah, Kempster, Sarah, Hall, Joanna, Berry, Neil, MacLellan-Gibson, Kirsty
Formato: Journal Article
Publicado: Springer Nature Oct2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2022
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00418-022-02130-z
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        atl: Blood identified and quantified in formalin fixed paraffin embedded lung sections using eosin fluorescence.
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          Francis, Robert J.
          Ferguson, Deborah
          Kempster, Sarah
          Hall, Joanna
          Berry, Neil
          MacLellan-Gibson, Kirsty
        affil: Biological Imaging Group, National Institute for Biological Standards and Control, Blanche Lane, EN6 3QG, South Mimms, UK
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      ab: Eosin Y is a common stain in histology. Although usually used for colourimetric imaging where the dye is used to stain pink/red a range of structures in the tissue, Eosin Y is also a fluorochrome, and has been used in this manner for decades. In this study our aim was to investigate the fluorescence properties of the dye to enable quantification of structures within formalin-fixed paraffin-embedded (FFPE) tissue sections. To do this, FFPE sections of hamster tissue were prepared with haematoxylin and eosin Y dyes. Spectral detection on a confocal laser scanning microscope was used to obtain the fluorescence emission spectra of the eosin Y under blue light. This showed clear spectral differences between the red blood cells and congealed blood, compared to the rest of the section. The spectra were so distinct that it was possible to discern these in fluorescence and multi-photon microscopy. An image analysis algorithm was used to quantify the red blood cells. These analyses could have broad applications in histopathology where differentiation is required, such as the analysis of clotting disorders to haemorrhage or damage from infectious disease.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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