Plant diagnostics plays a key role in optimizing plant nutrition and improving overall crop yield. For a reliable plant diagnosis, it is important to analyse both cell structure and pigment level changes to understand the stress type and the mechanisms involved. However, most of the existing techniques are unable to simultaneously visualize both changes, and some of the techniques are destructive in nature and lack sensitivity. High-resolution hyperspectral microscopy offers the capability to analyse the spectral characteristics of biological tissues, yet its application in plant diagnostics remains limited, particularly for probing deeper leaf layers. In addition, accurate characterization of different leaf layers requires high optical sectioning capability, which is lacking in conventional hyperspectral microscopes. In this context, a Structured Illumination Hyperspectral Microscope (SIHM) is developed, combining optical sectioning and hyperspectral imaging capabilities to enable layer-specific structural and spectral characterization of intact plant tissues. Sinusoidally modulated structured illumination patterns are projected onto the region of interest on the sample, and spectral images are captured using a hyperspectral imager. The developed microscope offers a spectral resolution of 1.3 nm, an optical sectioning ability of ∼5.2 μm, and a spatial resolution of ∼586 nm. The system’s ability for non-destructive plant diagnostics is demonstrated through the characterization of pigment changes associated with chlorosis and necrosis, highlighting its potential for the assessment of plant health and physiology.
Open Access
You are currently viewing a placeholder content from Vimeo. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from YouTube. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Facebook. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Google Maps. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Google Maps. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Mapbox. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from OpenStreetMap. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from X. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More Information