Benchtop plant phenotypic imaging system—Scanalyzer PL
Date:2017-04-20 15:43:38

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Desktop Plant Phenotype Imaging System - Scanalyzer PL is the simplest version of the Scanalyzer series. It can choose one of visible light (VIS), near-infrared (NIR), infrared (IR) or fluorescence imaging cameras. The camera is fixed and there is noTransfer device, manually changing samples, suitable for measuring smaller samples.However, the analysis software of the system is exactly the same as that of HTS and 3D systems that can perform high-throughput measurements, and the analysis capabilities are very powerful.

For small pot plants such as Arabidopsis, plants cultured with porous plates, leaf slices in porous plates, and plant seeds, high-throughput measurements can be performed indirectly (the sample must be replaced manually).The system can also perform high-throughput imaging measurements on bacteria, small animals, insect eggs, etc., for toxicology or other research.


Main functions


Application areas

Research fields such as plant physiology, agricultural science, plant pathology, genetic breeding, mutant strain screening, plant morphology modeling, seed physiology, seed pathology, plant stress physiology, plant hydraulics, and toxicology.


Application example

Morphological analysis of Arabidopsis

Various morphological parameters can be analyzed by imaging visible light in Arabidopsis.

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Seed fungal infection analysis

Even using the basic imaging system Scanalyzer PL, the seeds can be analyzed with high throughput to obtain detailed morphological and color information, and physiological and pathological diagnosis.The following figure shows the fungal infection of wheat grains through imaging.

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Fluorescence imaging of Arabidopsis seeds

The seeds can not only be imaged in visible light, but also in fluorescence and near-infrared imaging to obtain more information.The figure below shows fluorescence imaging of Arabidopsis seeds with GFP labeling (green), RFP labeling (infrared), GFP and RFP double labeling (orange) and unlabeled (blue). After software processing, it can be quickly classified and identified.

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Origin: Germany


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