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Related Experiment Video

Updated: Jan 30, 2026

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
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A low-cost and open-source platform for automated imaging.

Max R Lien1, Richard J Barker2, Zhiwei Ye1

  • 11Russell Labs, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706 USA.

Plant Methods
|February 2, 2019
PubMed
Summary
This summary is machine-generated.

We developed HyperScanner, an open-source hyperspectral imaging system for lab-based plant studies. This system reliably detects plant stress responses, like drought and salt stress, before visual symptoms appear.

Keywords:
ArabidopsisAutomatedHyperspectral imagingImaging spectroscopyLow-costNon-invasiveOpen-sourceReflectance

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Area of Science:

  • Plant Science
  • Spectroscopy
  • Imaging Technology

Background:

  • Hyperspectral imaging is crucial for non-destructive plant monitoring in field and lab settings.
  • Field-based hyperspectral imaging faces challenges due to uncontrolled environmental variables.
  • Laboratory and greenhouse systems are increasingly important for controlled plant studies and phenotyping.

Purpose of the Study:

  • To design and develop an open-source, hyperspectral reflectance-based imaging system for laboratory plant experiments.
  • To validate the reliability and accuracy of the developed system.
  • To provide an accessible tool for hyperspectral analysis in laboratory settings.

Main Methods:

  • Developed an open-source hyperspectral imaging system named HyperScanner.
  • Utilized open-source components and made custom parts, methods, and data publicly available.
  • Validated the system using drought and salt stress experiments on *Arabidopsis thaliana*.

Main Results:

  • Created a robust, scalable, and reliable hyperspectral imaging system.
  • Observed changes in narrowband red and infrared reflectance spectra indicative of plant stress.
  • Spectral changes were detected prior to visual physiological responses and aligned with contact spectrometer measurements.

Conclusions:

  • HyperScanner provides a reliable and cost-effective solution for laboratory hyperspectral imaging.
  • The system rapidly acquires accurate reflectance curves for plant stress experiments.
  • HyperScanner enables early detection of plant stress through spectral analysis before visual manifestation, enhancing analytical capabilities.