Evaluating single molecule detection methods for microarrays with high dynamic range for quantitative single cell analysis.

ABSTRACT: Single molecule microarrays have been used in quantitative proteomics, in particular, single cell analysis requiring high sensitivity and ultra-low limits of detection. In this paper, several image analysis methods are evaluated for their ability to accurately enumerate single molecules bound to a microarray spot. Crucially, protein abundance in single cells can vary significantly and may span several orders of magnitude. This poses a challenge to single molecule image analysis. In order to quantitatively assess the performance of each method, synthetic image datasets are generated with known ground truth whereby the number of single molecules varies over 5 orders of magnitude with a range of signal to noise ratios. Experiments were performed on synthetic datasets whereby the number of sin

SUBMITTER: Salehi-Reyhani A 

PROVIDER: S-EPMC5738400 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature