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Conventional reverse transcription quantitative polymerase chain reaction (RT-qPCR) technology has struggled to fulfill the unprecedented need for diagnostic testing created by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Complexity and cost hinder access to testing, and long turnaround-time decreases its utility. To ameliorate these issues, we focus on saliva and introduce several advances to colorimetric reverse-transcription loop-mediated isothermal amplification (RT-LAMP) technology; RT-LAMP offers a minimal equipment alternative to RT-qPCR. First, we validated the use of the novel dye LAMPShade Violet (LSV), which improves the visual clarity and contrast of the colorimetric readout. Second, we compared different inactivation conditions on infectivity and RNA yield from saliva. Third, we developed a ten-minute RNA purification protocol from saliva. We call this magnetic bead protocol SalivaBeads. Finally, we developed a magnetic stick, StickLAMP, which provides reliable bead-based RNA purification as well as simple and low-cost access to scalable testing from saliva.

The perception of visual motion is critical for animal navigation, and flies are a prominent model system for exploring this neural computation. In Drosophila, the T4 cells of the medulla are directionally selective and necessary for ON motion behavioral responses. To examine the emergence of directional selectivity, we developed genetic driver lines for the neuron types with the most synapses onto T4 cells. Using calcium imaging, we found that these neuron types are not directionally selective and that selectivity arises in the T4 dendrites. By silencing each input neuron type, we identified which neurons are necessary for T4 directional selectivity and ON motion behavioral responses. We then determined the sign of the connections between these neurons and T4 cells using neuronal photoactivation. Our results indicate a computational architecture for motion detection that is a hybrid of classic theoretical models.