
Hoefer AutoLaser Marking Machine offers a high-throughput, label-free solution for permanently identifying sample storage tubes. Designed for efficiency and reliability, this system laser-etches high-contrast tri-code markings on up to 1200 tubes per hour, eliminating the limitations of traditional labels.
Fully compatible with the entire Hoefer tube range, the AutoLaser simplifies identification in high-volume labs, biobanks, and sample tracking workflows where label loss, contamination, and durability are concerns.
Features & Benefits:
- Processes up to 1200 tubes per hour with user-defined coding
- Supports custom text, numbers, letters, barcodes, 2D codes, and graphics
- Laser-etched tri-codes are waterproof, frost-resistant, and contamination-free
- Codes are easily recognized by standard barcode readers
- Open communication interface for software integration
- External data import capability for automation
- Eliminates the need for adhesive labels and manual input
- Compatible with all Hoefer sample storage tubes
Technical Specifications
Category | Specification |
---|---|
Marking Range | 110 × 110 mm |
Standard Line Width | 0.06 mm (material-dependent) |
Minimum Character Height | 0.2 mm |
Cooling System | Forced air cooling |
System Control | IPC I5-6200, 4GB RAM, 128GB SSD, touch screen |
System Power Supply | 1.5KW / AC220V / 50Hz ±5% |
Unit Dimensions (W × L × H) | 570 × 485 × 650 mm |
Unit Weight | 72 kg |
Environmental Conditions:
- Ambient Temperature: 10–35°C
- Humidity: ≤90%
- Vibration: ≤0.98 m/s² (0.1G), 10–60Hz
- Dust: ≤0.20 mg/m³
- Mist / Condensation: Not allowed
- Grounding: Class D (resistance ≤100Ω)
- Transport Vibration Tolerance: ≤4.9 m/s² (0.5G)
Ordering Information
- ST-ATL01 – Single Channel AutoLaser Marking Machine
- ST-ATL02 – Multi-Channel AutoLaser Marking Machine
Additional Notes
Ideal for labs moving toward automation, the AutoLaser replaces fragile and contamination-prone labels with precise, permanent etching. Perfect for improving traceability and reducing manual labeling errors in sample-intensive operations.