A Novel ImageJ Macro for Automated Cell Death Quantitation in the Retina.

ABSTRACT:

Purpose

TUNEL assay is widely used to evaluate cell death. Quantification of TUNEL-positive (TUNEL+) cells in tissue sections is usually performed manually, ideally by two masked observers. This process is time consuming, prone to measurement errors, and not entirely reproducible. In this paper, we describe an automated quantification approach to address these difficulties.

Methods

We developed an ImageJ macro to quantitate cell death by TUNEL assay in retinal cross-section images. The script was coded using IJ1 programming language. To validate this tool, we selected a dataset of TUNEL assay digital images, calculated layer area and cell count manually (done by two observers), and compared measurements between observers and macro results.

Results

The automated macro

SUBMITTER: Maidana DE 

PROVIDER: S-EPMC4611955 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature