One Platform, Three Layers
Fluorescent staining, whole-slide scanning and AI-assisted reading are provided as one integrated platform, from the staining reagent through the scanning system to the reading algorithm.
Intelligent Fluorescence Analysis System DC-100
A three-layer integrated platform for fluorescent staining, whole-slide scanning and AI-assisted reading.
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Three-Layer Architecture
DC-100 is a three-layer integrated platform: a one-step fluorescent staining reagent, intelligent fluorescence scanning, and an AI reading algorithm.
The Three Layers
One-step fluorescent staining reagent
Acridine-orange-based one-step staining; dual-color fluorescence (green nuclear DNA / orange-red cytoplasmic RNA); 12-month shelf life, ready to use.
Intelligent fluorescence scanning
Whole-slide scanning with a 20× plan-achromatic objective; barcode/QR recognition with LIS connectivity; auto-focus, image stitching and threshold segmentation.
AI reading algorithm
CNN-based deep learning trained on millions of annotated images; multi-dimensional morphology/color/brightness recognition; AI pre-screening → human review → cloud-based quality control.
Key Metrics
Figures below are listed for reference. Only the accuracy figure carries a source qualifier; the other figures are awaiting verified test documentation.
90 sWhole-slide scan, focusing included
0.67 μm/pixelResolution with 20× objective
1–300 slidesSlide capacity (standard 1–5; high-throughput 150/300 optional)
>98%AI recognition accuracy (internal data)
Note: "Slide capacity" refers to loading capacity, not a throughput figure. Only the accuracy figure carries a source qualifier; the scan time, resolution and capacity figures are awaiting verified test documentation.
Specifications
Instrument-level specifications for DC-100. Scan time, resolution and slide capacity are listed above under Key Metrics.
| Specification | DC-100 |
|---|---|
| Objective | 20× plan-achromatic |
| Whole-slide scanning | Automated scanning with auto-focus and image stitching |
| Image processing | Threshold segmentation |
| Code recognition | Barcode and QR code recognition |
| System connectivity | LIS (laboratory information system) |
| AI algorithm | CNN-based deep learning; multi-dimensional morphology/color/brightness recognition |
| Reading workflow | AI pre-screening → human review → cloud-based quality control |
| Fluorescent staining reagent | One-step acridine-orange-based staining; dual-color (green nuclear DNA / orange-red cytoplasmic RNA); 12-month shelf life, ready to use |
| Application pipelines | Gynecological microecology; urinary tract oncology; thyroid FNA; fungal detection |
Note: Specifications above are for reference and may differ by configuration. Please confirm the exact configuration for your laboratory before ordering.
Application Pipelines
Gynecological microecology
Fluorescent staining of vaginal discharge for BV/AV/VVC/TV and mixed infections, Nugent scoring
Kappa 0.896 vs. Gram stain (n=265)
Urinary tract oncology
Non-invasive detection of urine exfoliated cells for bladder cancer screening and follow-up
Sensitivity 77%–85.5% (published literature)
Thyroid FNA
Fluorescence-assisted diagnosis of fine-needle aspirates, report in ~10 minutes in the aspiration room
Sensitivity/specificity 96.3%/93.8% (single-center internal data, external validation pending)
Fungal detection
Fluorescent staining for cutaneous/pulmonary fungi and BALF samples
Listed among the methods recommended in the international ESCMID-ECMM-ERS 2017 guideline.
Request Documentation or a Quotation
Documentation for DC-100 is available on request. Tell us your laboratory's application focus and expected workload, and we will advise on the suitable configuration.
Product documentation
Please contact us to request the DC-100 datasheet.
Application advice
We will help match the DC-100 configuration to your applications and workload.
Installation & training
Ask us about installation, operator training and after-sales service in your region.
Contact: Mr. Zhao Peng · zp18971337447@gmail.com · +86 189 7133 7447 · WhatsApp