Microscope Pathology Slide Scanner LX300MSS
Description
Microscope Pathology Slide Scanner LX300MSS is a fully automatic slide scanner that integrates advanced digital scanning technology with intelligent slide contour recognition for accurate and efficient scanning. It is equipped with a high-quality objective lens and an integrated research-grade camera to deliver high-resolution digital images with exceptional clarity. The system supports software development for digital slide viewing, teaching, image retrieval, research, and examination applications, making it an ideal solution for pathology laboratories, educational institutions, and research facilities.
Specifications
| Capacity |
5 Standard slides (75 x 25 mm), or 2 Standard large slides (75 x 50 mm) |
|---|---|
| Scan area |
15 x 15 mm |
| Scan speed |
- 20x Scan, < 35 Seconds - 40x Scan, < 50 Seconds |
| Scan mode |
Fast, accurate, 3D, fusion mode |
| Scan method |
High-speed continuous scanning |
| Scan resolution |
20x Scan ≤ 0.24 µm/pixel 40x Scan ≤ 0.12 µm/pixel |
| Objective |
High quality plan apochromatic 20x N.A.0.8 |
| Camera |
5.0 M CMOS Digital camera |
| Software |
Scanning softwares |
| External dimension |
565 x 425 x 563 mm |
| Net weight |
60 Kg |
| Packing dimension |
800 x 600 x 1420 mm |
| Gross weight |
80 Kg |
Features
- High-quality camera with plan apochromatic objective, includes a PC
- Fast multi-magnification scanning with intelligent slide contour detection
- Integrates digital scanning, cloud-based data management, and IT
- Automatically identifies tissue areas, slide labels, barcodes
- View slide information before scanning and capture, edit, and export HD images
- Converts glass slides into high-resolution digital images with AI-assisted analysis
- Quick search, real-time scan progress monitoring, and customisable report templates
- User-friendly software with secure data management and detailed access controls
Applications
- It is suitable for online teaching, remote learning, digital slide retrieval, and examination. Compatible with AI-assisted cytology, histology, and immunohistochemistry analysis, enabling efficient collaboration, research, and diagnostics.
