Whole-slide imaging and a Fiji-based image analysis workflow of immunohistochemistry staining of pancreatic islets

ABSTRACT: Quantification of cell populations in tissue sections is frequently examined in studies of human disease. However, traditional manual imaging of sections stained with immunohistochemistry is laborious, time-consuming, and often assesses fields of view rather than the whole tissue section. The analysis is usually manual or utilises expensive proprietary image analysis platforms. Whole-slide imaging allows rapid automated visualisation of entire tissue sections. This approach increases the quantum of data generated per slide, decreases user time compared to manual microscopy, and reduces selection bias. However, such large data sets mean that manual image analysis is no longer practicable, requiring an automated process. In the case of diabetes, the contribution of various pancreatic endocri

SUBMITTER: Buckels E 

PROVIDER: S-EPMC9531276 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature