Meet Riffyn: Measure Mode

Last week we introduced you to Riffyn's Design Mode, where you define, visually and precisely, how you want to achieve your scientific aims. This week we’ll dive into Measure Mode,  where you plan and execute your experimental design and upload your data. If you'd like to setup a demo and learn about getting a trial started please contact us!


Garbage in drives garbage out. Bad data, ambiguous data, missing data all slow down discovery and development. You don't want to go hunting for data you know you already recorded... somewhere. You don't even want to copy and paste data from one spreadsheet to another and another and another. You want to write once, then read on demand wherever you might conceivably put your data to work.

Riffyn's Measure mode helps you collect and organize your data. Using computer-aided process design as context, your data gets the structure and context you need to eliminate the hassle of tracking it down and cleaning it up for subsequent analysis.

Once you've designed your process in Design Mode, you can create an Experiment, add Runs (samples) and plan Variations. Runs can be added individually or in groups (for example, 96-well plates). Then you connect these runs through each step in your process. We call this the Run Path.

The Run Path planning tools allow you to precisely design experiments, sampling plans, and replication structure - all while tracking the provenance of the materials and equipment that process those runs (or samples).

In each step you can also choose which parameters you want to make variable - i.e. setup single or multivariate experimental designs. You can then follow this experimental plan in the lab yourself, or send it to a colleague to execute.

To execute an experiment you first specify your inputs. This includes assigning Resources like equipment as well as reagents.

Finally, you are ready to collect your data. When you add your experimental data, Riffyn parses it into data variables and assigns those variables to the properties on the equipment and samples in your process. Thus, your data is automatically annotated as soon as you capture it, and immediately available for integrated analysis. No longer will you waste time copying or noting redundant information.


Riffyn supports three methods for getting your data into the system: data agent, file upload, and manual entry.

The Data Agent supports complex queries against local data sources in your organization. You can use existing plugins for MySQL and Postgres, or work with us to create a custom plugin.

The second method of File Upload is supported by a visual parsing engine we call Parsely. With Parsely you can create instrument configuration files easily directly in Riffyn, with support for table, matrix, and key:value datasets.

Finally, you can add manual data simply by double-clicking a field and entering values for each of your runs.


Measure Mode not only helps you plan and execute your experiment, it prepares all your data for integrated analysis on demand.

Thanks for joining us to learn more about Measure Mode! Next week we’ll dive into Analyze Mode,  where you can link and analyze your data across run, experiment, and process.