Example: Data Access and Search

Empower currently does not provide a visualization option where sample metadata and result data can be visualized easily for multiple injections without the opening of, and switching between multiple tabs. The capability to visualize and select channels is not possible in batch. Additionally, loading data into a platform like JMP/R/Python takes manual effort (in some cases, up to 2-3 hours per analysis).

With TetraScience, you can configure a Spotfire dashboard template allowing for side-by-side chromatogram visualization based on sample, channel, and other metadata selection.

Data retrieved from the Tetra Data Platform can be retrieved in a hierarchical manner, leading with Project, Sample Set, Injections, and then Results. This provides the capability to visualize data without the hurdle of opening multiple windows and tabs, and having to constantly switch between them. This also enables your team to search across metadata and quickly retrieve desired Empower files.

The following diagram represents the starting point of interacting with your Empower data in Spotfire through the Tetra Data Platform. You can begin by searching all of your projects, sample sets, and injections, and then get your results and chromatograms. This allows you to then use the other dashboards to further narrow your search.

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Search all your projects, sample sets and injections

The following diagram represents the visualization of chromatograms, injection metadata (injection IDs, injection times, injection volume, and dilution), and also the resulting peak tables. You can use the sidebar to narrow down by project, sample set, system name, sample name, analyte name, or any other available metadata you want to use. You can achieve this all on the same screen, and do not need to switch between any windows or tabs.

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Overlay your chromatograms across projects and view results (peak)

With your results data available, you can dive deeper into these data sets and perform analysis. For example, the following diagram shows Peak Area is plotted against Retention Time, colored by different analyte. This is a great way to detect anomalies by looking at the clusters. For example, there are two clusters forming with color red, indicating that something has changed.

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Peak Area vs Retention Time

The following are two dashboards which you can create to control charting applications. The first dashboard plots how Peak Area evolves over time for different columns. The second dashboard plots how suitability parameters, such as tailing factor, evolves over time for different columns. Typically, you can only perform this type of analysis using an Excel spreadsheet. This method takes a significant amount of time, is error prone, is not in real time, and is difficult to share.

Leveraging tools like Spotfire, you are able to perform large scale visualization and analytics on your Empower data, download the search results, and share the dashboard within your organization.

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Peak Area vs time per column

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Control charting: Tailing factor vs time per column


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