DECTRIS CLOUD HUB

Overview

High-performance instruments enable acquisition of large volumes of experimental data at high frame rates and resolution. While these detectors offer significant improvements in data quality and experimental throughput, they also impose substantial demands on data handling infrastructure. In particular, real-time data transfer, integrity, and storage become critical when dealing with sustained high bandwidth outputs.

The DECTRIS CLOUD HUB is designed to support data streaming from ANY HIGH-THROUGHPUT INSTRUMENT to DECTRIS CLOUD. It enables continuous acquisition and transfer workflows by buffering and uploading data in a secure and fault-tolerant manner, mitigating risks associated with network variability or limited local storage.

Technical Capabilities

• Sustained High-Bandwidth Acquisition
  Supports real-time data ingestion from instruments operating at full acquisition speed.
• Local Buffering with Deferred Upload
  Buffers acquired data locally to enable asynchronous uploads, ensuring continuity of acquisition even during temporary network outages.
• Encrypted Data Transfer Protocol
  Utilizes secure data transfer protocols with end-to-end encryption for confidentiality and integrity.
• Infrastructure Compatibility
  Designed to be deployed within existing research environments with minimal configuration; compatible with common networking and storage architectures.
• Security Architecture
  Implements network and system-level protections validated through penetration testing and aligned with current best practices in secure computing.

Use Cases

The DECTRIS CLOUD HUB is applicable in experimental workflows that combine large data volumes with computational or automation constraints. Examples include:

Imaging and Diffraction Techniques
Tomography, Ptychography, Serial Macromolecular Crystallography (Serial MX), Cryo-Electron Microscopy (CryoEM)

Compute-Intensive Pipelines
Workflows involving real-time processing, iterative reconstruction, or large-scale data aggregation.

Automation-Driven Labs
Environments where unattended operation requires robust and fault-tolerant data handling mechanisms.

Shared and Multi-User Facilities
Scenarios involving parallel data acquisition by multiple users or instruments.