AZ-LAB-06
Autonomous high-throughput laboratory ecosystem. Features zero-intervention molecular processing, closed-loop feedback optimization, and neural-network-driven assay sequencing.
System Overview
The AZ-LAB-06 represents the sixth generation of Aevum Zenth's autonomous laboratory infrastructure. Designed for pharmaceutical R&D, materials science, and biotech manufacturing, the platform eliminates human intervention in routine molecular biology workflows.
Utilizing proprietary HydraFlow liquid handling and OptiCore machine vision, the AZ-LAB-06 can self-calibrate, self-maintain, and autonomously adjust assay parameters based on real-time results from the integrated AI core. The system supports multi-protocol execution, allowing simultaneous operation of PCR, sequencing, and protein crystallization modules.
Technical Specifications
| Form Factor | 19U Rack-Mountable / 450mm Depth |
| Operating Temperature | 4°C to 40°C (Active Cooling) |
| Liquid Handling Range | 10 nL to 2,000 µL (HydraFlow X-9) |
| Volume Accuracy | ±0.01% (100 µL reference) |
| Vision System | OptiCore 4K Microscopy + Spectral Analysis |
| Connectivity | 10GbE, Wireless 802.11ax, MQTT, REST |
| Power Consumption | 850W Idle / 2.4kW Peak |
| Safety Class | BSL-2 Certified, HEPA Filtration |
Modular Components
Configure your AZ-LAB-06 with any combination of the following plug-and-play modules. All modules support hot-swapping without system downtime.
HydraFlow Liquid Handler
High-speed multi-channel pipetting with droplet detection and adaptive flow rates.
CryoVault Storage
Automated sample storage at -80°C with barcode tracking and retrieval arms.
OptiCore Analyzer
In-line microscopy, absorbance, and fluorescence analysis with AI anomaly detection.
ThermoCycle PCR
Rapid thermal cycling with precision gradient control for qPCR and amplification.
Sequencer Interface
Direct integration with major sequencing platforms for library prep and loading.
Manipulator Arm
6-axis robotic arm for handling non-standard samples, plates, and reagent preparation.
API & Integration
Control the AZ-LAB-06 via our comprehensive REST API and MQTT event bus. Below is a sample Python snippet for initializing a protocol run.
import az_lab_sdk as az
# Initialize client with secure token
client = az.Client(
endpoint="az-lab-06.internal.zenth.corp",
auth=az.Auth.from_env("AZ_API_KEY")
)
# Define protocol parameters
protocol = az.Protocol("protein_crystallization_v2").configure(
samples=96,
temperature_gradient=True,
ai_optimization=True
)
# Submit job and track status
job = client.submit(protocol)
print(f"Job {job.id} queued. ETA: {job.estimated_minutes()} mins")
# Wait for completion with streaming logs
for log in client.stream_logs(job.id):
print(log.timestamp, log.message)