Automated analysis of images for molecular quantification in immunohistochemistry.

ABSTRACT: 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 m

SUBMITTER: Guirado R 

PROVIDER: S-EPMC6039854 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature