Pipeline for illumination correction of images for high-throughput microscopy.

ABSTRACT: The presence of systematic noise in images in high-throughput microscopy experiments can significantly impact the accuracy of downstream results. Among the most common sources of systematic noise is non-homogeneous illumination across the image field. This often adds an unacceptable level of noise, obscures true quantitative differences and precludes biological experiments that rely on accurate fluorescence intensity measurements. In this paper, we seek to quantify the improvement in the quality of high-content screen readouts due to software-based illumination correction. We present a straightforward illumination correction pipeline that has been used by our group across many experiments. We test the pipeline on real-world high-throughput image sets and evaluate the performance of the pip

SUBMITTER: Singh S 

PROVIDER: S-EPMC4359755 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature