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Plant Methods|June 21, 2022
A comparison of ImageJ and machine learning based image analysis methods to measure cassava bacterial blight disease severityKiona Elliott, Jeffrey C Berry, Hobin Kim, et al.Plant Physiology|May 3, 2019
Antiviral ARGONAUTEs Against Turnip Crinkle Virus Revealed by Image-Based Trait AnalysisXingguo Zheng, Noah Fahlgren, Arash Abbasi, et al.Peerj|October 13, 2018
An automated, high-throughput method for standardizing image color profiles to improve image-based plant phenotypingJeffrey C Berry, Noah Fahlgren, Alexandria A Pokorny, et al.Plant Direct|June 28, 2019
High-throughput profiling and analysis of plant responses over time to abiotic stressKira M Veley, Jeffrey C Berry, Sarah J Fentress, et al.Immunoinformatics (Amsterdam, Netherlands)|April 10, 2023
CelltrackR: An R package for fast and flexible analysis of immune cell migration dataInge M N Wortel, Annie Y Liu, Katharina Dannenberg, et al.Plos Pathogens|January 11, 2021
Escalation in the host-pathogen arms race: A host resistance response corresponds to a heightened bacterial virulence responseQi Wang, Nadia Shakoor, Adam Boyher, et al.Plant Direct|February 11, 2022
Heat stress changes mineral nutrient concentrations in Chenopodium quinoa seedJose C Tovar, Jeffrey C Berry, Carlos Quillatupa, et al.Biomolecules & Therapeutics|April 5, 2021
ER71/ETV2 Promotes Hair Regeneration from Chemotherapeutic Drug-Induced Hair Loss by Enhancing AngiogenesisTae-Jin Lee, Hee-Kyoung Kang, Jeffrey C Berry, et al.Plant Physiology|July 23, 2016
Quantitative, Image-Based Phenotyping Methods Provide Insight into Spatial and Temporal Dimensions of Plant DiseaseAndrew M Mutka, Sarah J Fentress, Joel W Sher, et al.Elife|July 12, 2022
Increased signal-to-noise ratios within experimental field trials by regressing spatially distributed soil properties as principal componentsJeffrey C Berry, Mingsheng Qi, Balasaheb V Sonawane, et al.Pageof 2