Raw images used for colony classification

<p>Raw images of plates with yeast colonies used in Figure 2 of &quot;Carl et al. A fully automated deep learning pipeline for high-throughput colony segmentation and classification&quot; (Biology Open 2020 : bio.052936 doi:&nbsp;10.1242/bio.052936 Published 2 June 2020). The paper describes the development of a novel computational pipeline for colony segmentation and classification that achieves accuracy comparable to human performance.</p> <p>The actual data was generated in a project that was published earlier (Duempelmann, L. e<em>t al. </em>Inheritance of a Phenotypically Neutral Epimutation Evokes Gene Silencing in Later Generations. <em>Molecular Cell</em> <strong>74, 3</strong> (2019).) The experiments were testing trans-generational inheritance of <em>ade6⁺ </em>silencing in <em>Schizosaccharomyces pombe</em>. <em>ade6⁺</em> silencing was first induced by expression of small interfering RNAs (siRNAs) that are complementary to the <em>ade6⁺</em> gene in a <em>paf1-Q264Stop</em> nonsense-mutant background, leading to red colonies. Paf1 is a subunit of the Paf1 complex (Paf1C), which represses siRNA-induced heterochromatin formation in <em>S. pombe</em>.</p>