The LK-1760 In-situ Rhizosphere Enzyme Activity Imaging System is based on the principle of fluorescence quenching caused by the reaction between fluorescently labeled substrates and soil enzymes. It enables non-destructive visualization and analysis of water-soluble enzyme activities in rhizosphere soil without disrupting the soil structure or root systems. This provides a powerful tool for in-depth understanding of soil-root-microbe interactions and the functional roles of soil enzymes in ecosystems.
The LK-1760 In-situ Rhizosphere Enzyme Activity Imaging System is based on the principle of fluorescence quenching caused by the reaction between fluorescently labeled substrates and soil enzymes. It enables non-destructive visualization and analysis of water-soluble enzyme activities in rhizosphere soil without disrupting the soil structure or root systems. This provides a powerful tool for in-depth understanding of soil-root-microbe interactions and the functional roles of soil enzymes in ecosystems.
Key Features
Technical Parameters
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Measurable Enzyme Types |
β-glucosidase, cellulose disaccharide hydrolase, xylanase, β-galactosidase, phosphatase, leucine aminopeptidase, tyrosine aminopeptidase, sulfatese |
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Imaging Carrier |
Polyamide filter membrane |
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Filter membrane |
Pore size: 0.45 μm; Size: 200×200 mm (customizable) |
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Fluorescent-labeled Substrate |
7-amino-4-methylcoumarin or 4-methylumbelliferone |
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Incubation Time |
≤ 60 minutes |
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Imaging Conditions |
Excitation wavelength: 355 nm (UV) Emission wavelength: 460 nm (blue light) |
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Imaging System |
1/1.8" CMOS Gigabit Ethernet industrial area scan camera 1. Interface: USB 3.0 2. Maximum frame rate: 5.9 fps 3. Sensor type: CMOS 4. Shutter type: Rolling shutter 5. Sensor size: 1 inch 6. Sensor dimensions: 13.5×9 mm 7. Resolution (W×H): 5536×3692 pixels 8. Dynamic range: 60 dB 9. Signal-to-noise ratio: 40 dB 10. Image resolution: 20 megapixels 11. Pixel size: 2.5 μm 12. Exposure time (min-max): 0.053 ms - 814 ms 13. Power consumption: 1.8 W - 3.5 W 14. Weight: 50 g |
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Repeatability error |
≤ 5% |
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Grayscale value analysis |
16 bit |
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Intelligent Soil Profile Enzyme Activity Hotspot Analysis Software |
l Deep learning-based automatic hotspot recognition and graded annotation system l Visualizes average enzyme activity and intensity distribution in soil profiles l Quantifies relationship between enzyme activity and root distance l Features pseudo-color rendering of fluorescence intensity and automatic background noise filtering (SNR improvement ≥30 dB) l Conditional trigger analysis (fluorescence intensity threshold, grayscale threshold, area threshold triggers) (Software screenshots and copyright registration certificate provided) |
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Maximum resolution |
4800×2000 pixels |
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Processing speed |
300,000 pixels/second |
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Memory optimization |
2 GB/1000 frames of data |
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Fluorescence quantification error |
CV% ≤ 3% (validated with standard samples) |
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Hotspot localization accuracy |
Pixel-level |
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Goodness of fit |
R²≥ 0.98 (validation dataset) |
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Result consistency |
≥ 90% (hotspot recognition vs. manual annotation) |
Software
Manufactured : Eco-mind, China
