Description
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High Image Quality for Digital Pathology
ICOE Digital Pathology Slide Scanner plays a leading role worldwide in movement accuracy, focus accuracy and image processing accuracy. Accurate whole slide imaging meets the requirements of traditional manual slide viewing and operation. It’s also suitable for the AI-assisted analysis of digital images.
High Quality, 3 Colors Independent Processing
K-SCP color processing method helps restore the original color, saturation, color temperature, color contrast and other indicators to enhance images, as well as color compensation of different displays after imaging.
Lightning Fast Speed, 25 Seconds Finish Scanning
Finish remote consultation of frozen sections rapidly. Achieve high throughput digital pathology slides scanning for the pathology department. Acquire real-time data for AI training and implementation.
High Precision, 20nm Fine Control
Linear magnetic axis drive and grating ruler positioning mechanism are adopted to achieve ultra-high precision of image movement control and image positioning at the nanometer level. It helps sample fast and accurately to achieve stable imaging for a longer period of time.
High Resolution, 80x Optical Imaging
It adopts top optical accessories. The light source, objective lens, camera, optical path and other accessories are comprehensively optimized. It greatly improves the optical resolution to directly observe the structure and details in the cell. The nucleus edge is sharp and the internal structure is clearly visible.
Product Specifications
- Acceptable Slides: 1inx3in
- Capacity: 120 slides
- Lighting: LED
- Scanning Manner: Line scanning
- Objective lens: Infinite plan apochromatic objective lens, numerical aperture 0.8
- Movement control: Linear magnetic axis motor control
- Magnification: 20x / 40x
- Resolution: ≤0.25um/pixel (20x), 0.125um/pixel (40x)
- Scanning Speed: <40s (20x, 15mmx15mm)
- <90s (40x, 15mmx15mm)
- (including focus time)
- Z-stack Scan: Yes
- Focusing: Automatic/Manual
- Precise Identification: Yes
- Label Identification: Bar code/QR
- Image Format: KFB/TIFF/SVS
- Work Station: CPU: Intel Core I5, Hard disk: 1TB, Memory: 16G, Monitor: 24 Inch
