KU-F40 Fully Automated Feces Analyzer
Keyu Feces Analyzer

KU-F40 Fully Automated Feces Analyzer

Fully automated feces analyzer designed for rapid and accurate detection of parasites, worm eggs, and protozoa using advanced imaging and AI recognition technology.

  • checkFully automated feces analysis system
  • checkAdvanced flotation and sedimentation detection methods
  • checkAI-based parasite recognition technology
  • checkTomographic multi-focus image scanning
  • checkHigh throughput processing for multiple samples
  • checkAutomated staining and sample preparation
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Descriptions

The KU-F40 is a fully automated feces analyzer developed by Zhuhai Keyu Biological Engineering for laboratory diagnosis of intestinal parasites and related conditions. It integrates advanced sample processing, imaging, and artificial intelligence technologies to improve diagnostic efficiency and accuracy.

The system utilizes innovative testing methods including flotation, sedimentation, and automated iodine staining, enabling enhanced detection rates for parasite eggs and protozoa. These methods provide more comprehensive analysis compared to conventional microscopy techniques.

Equipped with deep learning-based AI recognition, the analyzer can automatically identify and classify parasitic elements, reducing manual workload and minimizing operator variability. The tomographic scanning system captures multiple images at different focal depths, producing high-resolution images comparable to manual microscope focusing.

The KU-F40 supports batch processing with the ability to handle a large number of samples simultaneously. Its automated workflow allows multiple test items to be completed in a single run, improving throughput and laboratory efficiency.

With its intelligent automation, high detection accuracy, and advanced imaging capabilities, the KU-F40 is suitable for clinical laboratories, hospitals, and diagnostic centers performing parasitology analysis.

Technical Specifications

Method
Flotation, sedimentation, and automated iodine staining methods
Detection
Parasites, worm eggs, protozoa
Technology
AI-based image recognition with deep learning
Imaging
Tomographic multi-focus scanning
Throughput
Approx. 20–60 samples per hour
Sample Capacity
Up to 130 samples
Test Capability
Up to 6 test items per sample
Operation
Fully automated workflow
Application
Fecal analysis and parasitology diagnostics
Display
Integrated imaging system with high-resolution output

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