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Related Concept Videos

Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Related Experiment Video

Updated: Jul 16, 2025

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement
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OPEN leaf: an open-source cloud-based phenotyping system for tracking dynamic changes at leaf-specific resolution in

Landon G Swartz1,2, Suxing Liu3, Drew Dahlquist1

  • 1Department of Electrical Engineering and Computer Science, University of Missouri, 411 S 6th St., Columbia, Missouri, 65201, USA.

The Plant Journal : for Cell and Molecular Biology
|September 21, 2023
PubMed
Summary
This summary is machine-generated.

We developed OPEN leaf, an open-source plant phenotyping system, to address challenges in characterizing unassigned Arabidopsis genes. This accessible technology enables detailed, high-throughput analysis of plant responses to environmental changes.

Keywords:
CyVersehigh-throughput phenotypinghydroponicsphenomicsplant nutrition

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Area of Science:

  • Plant biology
  • Genomics
  • Bioinformatics

Background:

  • Over 30% of Arabidopsis genes remain uncharacterized due to redundancy or lethality.
  • High-throughput plant phenotyping (HTPP) can reveal subtle phenotypes but commercial access is limited.

Purpose of the Study:

  • To design and implement an open-source HTPP system (OPEN leaf) for accessible plant gene function research.
  • To demonstrate the system's capability in documenting dynamic plant responses.
  • To highlight the utility of VIS sensors in high-throughput screening.

Main Methods:

  • Development of the OPEN leaf system with cloud connectivity and remote communication.
  • Integration with the SMART imaging processing pipeline.
  • Utilizing VIS sensors for leaf-specific, time-dependent phenotyping.

Main Results:

  • OPEN leaf successfully documented and quantified dynamic whole-rosette and leaf-specific changes in response to nutrient availability.
  • VIS sensors proved effective for identifying previously unknown phenotypes.
  • The system demonstrated modularity and ease of sensor integration.

Conclusions:

  • OPEN leaf provides an accessible, open-source solution for high-throughput plant phenotyping.
  • The system facilitates the characterization of gene functions, particularly for redundant or essential genes.
  • Further integration of sensors can expand the system's research applications.