Overview

Live cell imaging has been routinely used to generate data for quantitative understanding of cellular processes and dynamics. Various tools have been developed to perform automate analysis of these microscope data, but these methods often contain errors and require tedious manual data correction. Efficiently detect and correct errors in the large datasets to remains a challenging bottleneck. Here, we present an error detection and correction tool, eDetect, which provides a powerful and convenient solution for the analysis of live cell imaging data. In eDetect, we propose a gating strategy to distinguish error and correct results by visualizing cell image features based on principal component analysis. We demonstrate that this approach can substantially accelerate the data correction process and improve the accuracy of data analysis. eDetect is well documented, designed to be user-friendly for non-expert users, and is freely available as open source software.