MultipleXLab devices enable automated high-throughput imagery systems in autonomous visualization and analysis of plant growth dynamics at a multi-scale level with high precision. These user-friendly systems will help in reducing time and effort when performing high-throughput screening of seed germination, root systems growth, abiotic stresses, and insect feeding. MultipleXLab devices were conceptualized and created by Professor Dr. Ikram Blilou and PhD student Vinicius Lube from the Laboratory of Plant Cell and Developmental Biology (LPCDB) at King Abdullah University of Science and Technology (KAUST). Additional efforts from the Sensors Lab at KAUST enabled the creation of the commercial system. Data processing is realized with the support of Ipsumio, a consultancy company in charge of developing machine learning solutions that facilitate big-data processing.

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