2026.7·Data in, data out

Last month was about trusting your numbers. This month is about moving them. qPCR data lives in many tools, and until now getting it into and out of Clarida meant leaning on a variety of Excel tables. With 2026.7 we speak RDML, the community standard for qPCR data exchange, so you can bring in runs and whole experiments, including the raw amplification and melt curves, and hand a well-formed RDML file back to any other tool that reads it. The ELN export grew up too: it now carries your entire analysis, not just the design.

We also closed the gap between our free community tools and the platform. The Reference Gene Finder and plate homogeneity check now run on your experiment data in place, no copy-paste round trip. And a lot of the smaller work this month went into making the workspace feel like a home for your recurring lab assets: your cyclers, your cycling protocols, and your reaction mixes now have a durable place to live.

A clear start for analysis only experiments

Clarida has always let you jump straight into analysis without first building a design and executing a run, but the old entry screen did not make that obvious. Every new experiment looked as though you were expected to walk the whole workflow even when all you had was a table of Cq values. The reworked launchpad fixes that impression. It presents your starting points as equal, focused entry cards: "Build from scratch" or "Start from Cq values".

A home for your instruments, protocols, and mixes

Recurring lab assets no longer have to be re-entered every experiment. Alongside the existing sample and assay libraries, Clarida now gives your instruments, cycling protocols, and reaction mixes a durable home under Storage. Register and rename your thermal cyclers, save and fork thermal cycling programs, and build reusable master-mix recipes, then pick any of them in-workflow when you set up a run.

Saved items are promoted into your library and reused across experiments, with usage counts and lifecycle controls so retiring an old cycler or superseding a protocol never disturbs the runs that already reference it.

RDML, all the way

qPCR data rarely starts and ends in one tool. Clarida now reads and writes RDML, the open Real-time PCR Data Markup Language standard, so an experiment can move between your instrument software, other analysis packages, and Clarida without a lossy detour through spreadsheets. You can import a single run's data, or a whole experiment tree with the same fidelity as the qbase+ import, and export any experiment back out as a valid RDML file.

This is also the release where Clarida stores real raw curves. Importing RDML now persists the per-well amplification and melt curves alongside the Cq values, and multiplex assays are mapped correctly to the right dye channel and target so complex runs come in with accurate assay and target information. RDML files that already carry an externally corrected Cq are honored as-is instead of being silently recomputed.

A complete experiment export for your ELN

Your ELN export used to capture the design of an experiment as it was set up and executed. It now captures the whole thing. Exporting an experiment produces a self-contained, human-readable workbook that adds the full analysis lifecycle: per-well Cq measurements, derived qPCR datapoints, the processing settings that were actually applied (efficiency, normalization, inter-run calibration), quality-control verdicts, and an index of your saved analyses with the input data behind each figure.

Custom sample properties and previously dropped design fields, such as per-sample concentration, expected Cq, and negative-control flags, now flow through as well. The result is an offline record complete enough to serve as lab-notebook documentation or as supporting material for a publication, with empty sections pruned so the export stays readable for small experiments.

Reference Gene Finder and plate homogeneity, integrated in your experiments

Two of our free community tools now run directly inside the platform. The Reference Gene Finder (geNorm) evaluates candidate reference genes for stability, and the plate homogeneity check surfaces spatial artifacts across your plate, both without exporting your data, reformatting and re-entering it in a separate tool. They live in the Statistics & apps area and read straight from your experiment.

• Improved fullscreen navigation · Previous step added for back and forth navigation. The Analyze section gained a Back-to-overview navigation to support switching between the overview and the details of a selected analysis.
• Steadier NRQ charts · The NRQ bar chart keeps its toolbar, view, and footer stable as you step through assay-parts, with a prev/next stepper for moving between them.
• Clearer normalization empty state · The Normalization section now shows clear actions when no reference gene were appointed and auto mode reverted to None as normalization method.
• More reliable outlier median · Plate homogeneity's even-length median now correctly averages the two middle values in its range statistics.
• Honest file-load errors · When an experiment file fails to load, the error now surfaces in the dialog instead of failing silently.
• Deep links to workflow steps · Workflow sections are now deep-linkable, so you can bookmark or share a link that opens a specific step directly.