By Dectris Ltd.
One platform: every digital tool your lab needs. DECTRIS D.LAB is built around four capabilities that work together to connect your lab's work: making past work reusable, keeping the PI in the loop, and preserving everything the lab builds across PhD generations. - Quick and user friendly onboarding - Start in 5 min instead of waiting for days in the HPC queue - One communication channel: more efficiency - Hours to weeks saved in rerun - On-demand science compute - 30+ tools preinstalled, skip the days lost to environment setup Everything your lab works with lives in projects — data, software, analyses, and people. Research is scattered across instruments, storage, compute, and personal devices. DECTRIS D.LAB brings data, tools, analyses, and context together in one shared environment, giving your group a single home for its scientific work. Projects The organizational unit. Data, scripts, software, and members all belong to a project — not to a personal drive or inbox. Data Raw files, processed outputs, and metadata live in the project. Connected directly from instruments and lab storage. Scripts & software library Custom pipelines, analysis scripts, and public software libraries all live in the platform, containerized. Anyone authorized and on the project can find and run them. Shared analysis space One live view of what's running, done, and queued, so every member works from the same state. Role-based access Fine-grained control over who can view, edit, or run within a project. The PI has oversight, enabling them to coach and access scales for each member's role. Past work reruns in minutes. Environments, scripts, and workflows are automatically preserved for every project member with access. Rerun, Don't Rebuild Scientific progress shouldn't start from scratch. DECTRIS D.LAB turns past analyses into reusable assets, allowing your team to build on previous work, community tools, and proven methods in minutes, not days. - Containerized environments: Every run executes in an immutable container where software versions and dependencies are captured automatically. No environment to rebuild, no code to translate. - Rerunnable snapshots: Every run is a persistent snapshot of the full analysis state with data, parameters, environment, compute and outputs. Pick any snapshot, adjust a parameter, run again. - Script versioning & templates: Scripts are versioned automatically. Use a ready-made template, fork and adapt it, or build your own from scratch — all parameterizable and rerunnable. - 30+ community tools, preinstalled: Analysis tools ready on day one. No install, no translation, no dependency conflicts. - Flexible compute: The same workflow runs a variety of available nodes, with CPUs and GPUs, from 2 to 192. Labs make decisions live in a shared, contextual record. Every comment and tag stays linked to the analysis, keeping team members updated on projects while giving PIs a full view. Real-Time Mentorship The best scientific decisions happen through collaboration. DECTRIS D.LAB keeps researchers, postdocs, and PIs connected throughout the analysis process, enabling feedback, discussion, and mentorship where the work happens. - Lab activity overview: A live view of activity across all associated projects. As the lab owner, the PI can see the full lab — running analyses, completed runs, and open tasks — from anywhere, at any time. - Inline commenting: Comment directly on any analysis task at the moment of decision. Guidance and knowledge exchange lands where the work is happening, not in a follow-up email or lost in chats. - Tags: Lightweight labels on analysis tasks are visible directly in the analysis table. Add context, mark status, or flag something for attention without leaving the workspace. Every decision, run, and data file stays in the project, not personal drives. When members leave, the lab’s knowledge remains. Preserve Scientific Memory A lab's most valuable asset is its accumulated knowledge. DECTRIS D.LAB preserves methods, decisions, analyses, and expertise so every project contributes to a growing body of knowledge that survives across generations of researchers. - Logbook: A per-project free-form journal, editable by all active members. Capture decisions, observations, and context that belong to the project, not to a personal notebook. - Data analysis history: A permanent record of every past run with data, parameters, software, and results. The full picture of what was done and how is preserved indefinitely. - File & data versioning: Files and data are versioned and recoverable. Nothing is permanently lost, and you can roll back to any prior state on demand. - Metadata capture: Every file carries its provenance, automatically captured by the system and enriched by user annotations. Context travels with the data. - Archiving: Move data to cold storage without losing access. Archived files remain visible and recoverable, so you can manage storage without erasing memory. We ensure projects survive student turnover, reruns in minutes, and every result stays inspectable and shareable.
