ITEM KF-UV-150 KF-UV-150S NEW KF-UV-300
Name KF-UV-150 KF-UV-150S KF-UV-300
Printing technology Non-contact UV laser marking technology
Print content Alphanumeric, various languages, barcodes, QR codes, patterns, icons
Slide holder capacity ≥150 slides ≥150 slides ≥300 slides (2 loading chambers, 150 slides each)
Slide output bin capacity 25 slides (With extra collection device: 50 slides) 25 slides (With extra collection device: 50 slides) ≥100 slides (2 output chambers, 50 slides each, adjustable 25-50 slides)
Slide printer speed 20 slides/minute, ≤3s/slide
Printing Accuracy ≥2500dpi
Printing Mode – – Left/right channel selection, priority printing, batch printing
Screen Size ≥7 inch touch screen (operable with medical gloves)
Consumable Items 25x75mm, 1-1.2mm standard glass slide
Easy for Maintaining Professional dust removal device, 4-layer filter, one-click filter replacement
Operating System LINUX system (high stability)
System Interface Integrate with LIS/HIS/PIS (USB/Ethernet/WIFI), support PDF, txt, excel
Printing Methods Print online or off-line, real-time preview
External Device Support barcode scanner, mobile scanning printing
Dimensions (L×W×H) 470 × 200 × 388 mm 412 × 200 × 410 mm ≤420 × 245 × 430 mm
Slide Output Mode Bottom output, non-drop, first-in first-out, label side facing out
Alarm System Sound and light alarm (standby/working/alarm status)
One-time Printing Success Rate ≥99.5% (CNAS/CMA certified)
Durability Report CNAS/CMA certified report (xylene resistance, alcohol resistance, hot wax resistance, friction resistance, adhesion)
Multi-device Management Software Support multi-device control and management (with software copyright)

The AI-assisted cervical cancer screening platform has promoted the effective implementation of the screening project of breast cancer and cervical cancer in our city. It changes the traditional working mode of the pathology department. The WSI scanning and AI-assisted analysis effectively reduce the workload of laboratory pathologists, improve the diagnosis quality, enhance the technical ability of cervical cancer prevention and control in this city, and improve the screening level and efficiency of breast cancer and cervical cancer.

Liu Dongqin, Director of Pathology Department, Yancheng Maternity and Child Health Care Hospital

We did tens of thousands of controlled clinical trials in the early stage, and now AI helps screen out 50-70% of the negative cases. Now only 2 pathologists are required to screen 100,000 cases a year with the help of AI. Originally, according to the regulations, one pathologist can only diagnose 100 slides a day at most, and 4 pathologists are required for 400 slides.

Pan Deng, Director of Ningbo Diagnostic Pathology Center

Regarding publicity, everywhere we install the scanner, the feedback has been positive.

Jiri Barta, CEO of bamed Ltd.

I have been working with KFBIO scanners for a while now and I found them quality and precise machines with state of art technologies and user friendly applications. We are extensively using scanners for H&E, IHC and FL stained surgical biopsy tissues to communicate with our offsite pathologist throughout the US. I have experience working with scanners of different brands and I would say KFBIO scanners are much quicker and efficient with more accurate tissue detection capabilities. The fluorescent scanning feature is a top notch. I would still suggest some improvements in softwares interface for both scanner and image viewer but overall acceptable. I would recommend using KFBIO scanners to anyone in the field of pathology.

Tohid Najafi, PhD ASCP, Director of Anatomical Pathology, GoPath Diagnostics, Chicago, USA
KFBIO is actively exploring the possibility of establishing a municipal key artificial intelligence screening laboratory.
Yancheng Maternity and Child Health Care Hospital

We feel the advantages of KFBIO scanners in scanning speed, image resolution, stability and service. We hope to promote the cooperation in digital pathology and remote consultation in the future!

Sponsor of General Hospital of Ningxia Medical University