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MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer

Vinicius Lube1, Mehmet Alican Noyan2, Alexander Przybysz3

  • 1Laboratory of Plant Cell and Developmental Biology (LPCDB), Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.

Plant Methods
|March 29, 2022
PubMed
Summary

Researchers developed MultipleXLab, a cost-effective, mobile platform for high-throughput plant root phenotyping. This system enables precise, non-invasive monitoring of seed germination and root growth, aiding resilient crop selection.

Keywords:
AutomationCNC microscopeImage segmentationMachine learningPhenomics

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Area of Science:

  • Plant Biology
  • Agricultural Science
  • Biotechnology

Background:

  • Efficient crop selection for water and nutrient uptake requires detailed plant root architecture profiling.
  • Current high-performance root imaging tools are often expensive, stationary, and lack non-destructive high-throughput capabilities.
  • Extracting structural and morphological root features non-destructively at high-throughput remains a significant challenge.

Purpose of the Study:

  • To develop a modular, mobile, and cost-effective system for high-throughput plant root phenotyping.
  • To overcome the limitations of existing stationary and costly imaging solutions.
  • To enable automated analysis of root development from germination onwards.

Main Methods:

  • Development of the MultipleXLab system: a mobile setup with a conventional camera, multi-axis rotational stage, and integrated LED lighting.
  • Utilizing custom-built 3D-printed plate holders for seed monitoring.
  • Implementation of a deep learning-based image segmentation model for automated data analysis.

Main Results:

  • The MultipleXLab system successfully monitored seed germination and root growth non-invasively and at high-throughput.
  • The system demonstrated robust data acquisition for Arabidopsis mutants.
  • Precise evaluation of germination index and hourly growth rates was achieved, differentiating between mutant lines.

Conclusions:

  • MultipleXLab offers a flexible, user-friendly, and mobile alternative to expensive, stationary root phenotyping platforms.
  • The platform facilitates numerous applications for plant biologists, the seed industry, crop scientists, and breeding companies.
  • It provides a valuable tool for advancing research in crop resilience and development.