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Depolarizing metrics for plant samples imaging.

Albert Van EeckhoutEnric Garcia-CaurelTeresa GarnatjeMercè DurfortJuan Carlos EscaleraJosep VidalJosé J GilJuan CamposAngel Lizana
Published in: PloS one (2019)
Optical methods, as fluorescence microscopy or hyperspectral imaging, are commonly used for plants visualization and characterization. Another powerful collection of optical techniques is the so-called polarimetry, widely used to enhance image contrast in multiple applications. In the botanical applications framework, in spite of some works have already highlighted the depolarizing print that plant structures left on input polarized beams, the potential of polarimetric methods has not been properly exploited. In fact, among the few works dealing with polarization and plants, most of them study light scattered by plants using the Degree of Polarization (DoP) indicator. Other more powerful depolarization metrics are nowadays neglected. In this context, we highlight the potential of different depolarization metrics obtained using the Mueller matrix (MM) measurement: the Depolarization Index and the Indices of Polarimetric Purity. We perform a qualitative and quantitative comparison between DoP- and MM-based images by studying a particular plant, the Hedera maroccana. We show how Mueller-based metrics are generally more suitable in terms of contrast than DoP-based measurements. The potential of polarimetric measurements in the study of plants is highlighted in this work, suggesting they can be applied to the characterization of plants, plant taxonomy, water stress in plants, and other botanical studies.
Keyphrases
  • high resolution
  • magnetic resonance
  • deep learning
  • high speed
  • single molecule
  • mass spectrometry
  • cell wall
  • computed tomography
  • high throughput
  • heat stress
  • case control