@article{rajanala_taylor_mccaskey_pierce_ligon_aydin_hunner_carmichael_eserman_coffee_et al._2023, title={The rhizodynamics robot: Automated imaging system for studying long-term dynamic root growth}, volume={18}, url={http://dx.doi.org/10.1371/journal.pone.0295823}, DOI={10.1371/journal.pone.0295823}, abstractNote={The study of plant root growth in real time has been difficult to achieve in an automated, high-throughput, and systematic fashion. Dynamic imaging of plant roots is important in order to discover novel root growth behaviors and to deepen our understanding of how roots interact with their environments. We designed and implemented the Generating Rhizodynamic Observations Over Time (GROOT) robot, an automated, high-throughput imaging system that enables time-lapse imaging of 90 containers of plants and their roots growing in a clear gel medium over the duration of weeks to months. The system uses low-cost, widely available materials. As a proof of concept, we employed GROOT to collect images of root growth of Oryza sativa, Hudsonia montana, and multiple species of orchids including Platanthera integrilabia over six months. Beyond imaging plant roots, our system is highly customizable and can be used to collect time- lapse image data of different container sizes and configurations regardless of what is being imaged, making it applicable to many fields that require longitudinal time-lapse recording.}, number={12}, journal={PLOS ONE}, publisher={Public Library of Science}, author={Rajanala, Aradhya and Taylor, Isaiah W. and McCaskey, Erin and Pierce, Christopher and Ligon, Jason and Aydin, Enes and Hunner, Carrie and Carmichael, Amanda and Eserman, Lauren and Coffee, Emily E. D. and et al.}, year={2023}, month={Dec}, pages={1–9} }