These are not edge cases — they are the days that recur in every academic lab and that determine whether a lab compounds or rebuilds.
The reviewer asks for one more cycle
Context: Same pipeline. Single parameter changed. Reviewer's deadline: 48 hours.
Outcome: Rerun the workflow with one parameter changed; environments intact and lineage preserved. Minutes, not days.
A new PhD inherits a method
Context: The originator left six months ago. Notebook lives somewhere. Pipeline lives somewhere else.
Outcome: New researcher opens the workspace, picks the predecessor's workflow, changes the sample, runs. Onboarding: hours, not weeks.
You spot a problem in your student's run
Context: You're at a conference. They're running an analysis. You see it as it unfolds.
Outcome: Comment inline at the moment of decision. The student keeps iterating; the decision gets made with you, not after.
Your group has six places where data lives
Context: Microscope drive. Group NAS. Personal laptop. Two clusters. A shared Dropbox no one trusts.
Outcome: One workspace, one home. Each system becomes a node, not a silo. Sysadmin-exit included. ELN workaround retired.
what scientists are saying
“DECTRIS D.LAB helps us focus on results and insights from large-scale data. It offers much-needed functionality to reproduce, share, and work together in this upcoming era of real-time open and community-driven science.”
Sagar Khavnekar
Independent Scientist, Subspatial
what scientists are saying
“Hosting a hands-on workshop of this scale would have been nearly impossible without the support of DECTRIS D.LAB. Providing each participant with instant access to high-performance computing resources allowed us to focus on the scientific underpinning rather than the technical setup.”
Tilman Grünewald
CNRS researcher (COMiX team), Institut Fresnel
what scientists are saying
“DECTRIS D.LAB made it straightforward to set up and share my software environment for our particle physics simulation workflow, which I can now re-run with configurable input in just a few clicks.”
Philip Ploner
Student, ETH Zürich
what scientists are saying
"Once we go to the beamline, we come back and process the data on the platform. The interactive support is really helpful, and I'm quite happy. I want to keep using it, definitely."
Jacopo Tessarollo
Group Leader, Chomnan University
A place where today’s work becomes tomorrow’s starting point
Shared analysis space
One workspace where your group's projects, data, and analyses live together — every member sees what's running, what's done, what's next.
Community tools, preinstalled
30+ vetted analysis tools ready to run on day one — no install, no script translation, no version-conflict triage.
Live collaboration
Comment inline on any run, any iteration. Mentors guide where decisions are made; students stop guessing. The PI is back in the work.
Direct-from-detector upload
Up to 95 Gbit/s per device. The data is in the workspace before the experiment is over — no drive staging, no Dropbox relay.
Automated versioning
Every run captures data, software, workflow, and results as an immutable snapshot — versioned automatically. Roll back, fork, or rerun anything.
Built on open standards
Open formats. Standard containers. Portable workflows. Everything can be reused and transposed to other systems outside of DECTRIS D.LAB, with no lock-in.
Every lab grows differently. Choose the plan that fits your research today and gives your science the foundation to continue connecting, building, and growing tomorrow.
