High-Content Image-Based Screening and Deep Learning for the Detection of Anti-Inflammatory Drug Leads.

We developed a high-content image-based screen that utilizes the pro-inflammatory stimulus lipopolysaccharide (LPS) and murine macrophages (RAW264.7) with the goal of enabling the identification of novel anti-inflammatory lead compounds. We screened 2,259 bioactive compounds with annotated mechanisms of action (MOA) to identify compounds that block the LPS-induced phenotype in macrophages.

Three-dimensional models of natural environments and the mapping of navigational information.

Much evidence has accumulated in recent years, demonstrating that the degree to which navigating insects rely on path integration or landmark guidance when displaced depends on the navigational information content of their specific habitat. There is thus a need to quantify this information content. Here we present one way of achieving this by constructing 3D models of natural environments using a laser scanner and purely camera-based methods that allow us to render panoramic views at any location.