1. My ROOT : a method and software for the semiautomatic measurement of primary root length in Arabidopsis seedlings
- Author
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Alejandro González, Ana I. Caño-Delgado, David Blasco-Escámez, Isabel Betegón-Putze, Xavier Sevillano, Ministerio de Economía y Competitividad (España), Generalitat de Catalunya, European Commission, European Research Council, and Ministerio de Educación, Cultura y Deporte (España)
- Subjects
0106 biological sciences ,0301 basic medicine ,Root growth ,Root (linguistics) ,Root length ,Arabidopsis thaliana ,root phenotyping ,Arabidopsis ,Plant Science ,root length ,01 natural sciences ,Plant Roots ,03 medical and health sciences ,Software ,Plant science ,Genetics ,Technical advance ,2. Zero hunger ,biology ,business.industry ,software ,High-throughput image analysis ,Process (computing) ,Root phenotyping ,Cell Biology ,biology.organism_classification ,Hypocotyl ,030104 developmental biology ,Phenotype ,Technical Advance ,Seedlings ,high‐throughput image analysis ,Biological system ,business ,Algorithms ,010606 plant biology & botany - Abstract
Resumen del póster presentado al Congreso 'At the Forefront of Plant Research', celebrado en Barcelona (España) del 6 al 8 de mayo de 2019., Root analysis is essential for both academic and agricultural research. Despite the great advances in root phenotyping and imaging, calculating root length is still performed manually and involves considerable amounts of labor and time. To overcome these limitations, we have developed MyROOT, a software for the semi-automatic quantification of root growth of seedlings growing directly in agar plates. Our method automatically determines the scale from the image of the plate, and subsequently measures the root length of the individual plants. To this aim, MyROOT combines a bottom-up root tracking approach with a hypocotyl detection algorithm. At the same time as providing accurate root measurements, MyROOT also significantly minimizes the user intervention required during the process. Using Arabidopsis, we tested MyROOT with seedlings from different growth stages and experimental conditions. Upon comparing the data obtained using this software with that of manual root measurements, we found a high correlation between both methods (R2 = 0.997). When compared to previous developed softwares with similar features (BRAT and EZ-Rhizo), MyROOT offers an improved accuracy in root length measurements. Thus, MyROOT will be of great aid to the plant science community by permitting high-throughput root length measurements while saving on both labor and time.
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