Automated analysis of images for molecular quantification in immunohistochemistry
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Otros documentos de la autoría: Guirado, Ramón; Carceller, Héctor; Castillo-Gomez, Esther; Castrén, Eero; Nacher, Juan
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/36080
comunitat-uji-handle3:10234/36082
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Automated analysis of images for molecular quantification in immunohistochemistryFecha de publicación
2018-06Editor
ElsevierCita bibliográfica
GUIRADO, Ramón; CARCELLER, Héctor; CASTILLO-GOMEZ, Esther; CASTRÉN, Eero; NACHER, Juan (2018). Automated analysis of images for molecular quantification in immunohistochemistry. Heliyon, v. 4, issue 6, p. article number e00669Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S2405844018310508Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The quantification of the expression of different molecules is a key question in both basic and applied sciences. While protein quantification through molecular techniques leads to the loss of spatial information and ... [+]
The quantification of the expression of different molecules is a key question in both basic and applied sciences. While protein quantification through molecular techniques leads to the loss of spatial information and resolution, immunohistochemistry is usually associated with time-consuming image analysis and human bias. In addition, the scarce automatic software analysis is often proprietary and expensive and relies on a fixed threshold binarization. Here we describe and share a set of macros ready for automated fluorescence analysis of large batches of fixed tissue samples using FIJI/ImageJ. The quantification of the molecules of interest are based on an automatic threshold analysis of immunofluorescence images to automatically identify the top brightest structures of each image. These macros measure several parameters commonly quantified in basic neuroscience research, such as neuropil density and fluorescence intensity of synaptic puncta, perisomatic innervation and col-localization of different molecules and analysis of the neurochemical phenotype of neuronal subpopulations. In addition, these same macro functions can be easily modified to improve similar analysis of fluorescent probes in human biopsies for diagnostic purposes based on the expression patterns of several molecules. [-]
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Heliyon (2018), v. 4, issue 6Derechos de acceso
info:eu-repo/semantics/openAccess
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