Harnessing the Power of Revvity Signals Software

Revvity Signals Software is a powerful tool designed to document and analyze scientific experiments for a broad market audience. It begins with Signals Notebook, allowing users to capture and utilize various file formats commonly encountered in their daily work. The rich text section enables users to capture text freely or in tables, control fonts and colors, and add hyperlinks.

Step 1

Begin by exploring the features of Revvity Signals Software, particularly the Signals Notebook. Users can capture and manage a variety of file formats. The rich text section allows users to format text, create tables, and include hyperlinks.

Step 2

Users can also import images and PDF files into the notebook, annotating images to enhance context and searchability within Signals Notebook. It is fully compatible with Microsoft Office file formats, allowing users to import Word documents, view them in full-page format, and modify them as needed within Signals Notebook.

Step 3

Changes made within Signals Notebook are instantly captured and saved in the experiment history. This ensures that modifications are updated and can be viewed in the history section.

Step 4

The current version is displayed, providing the ability to compare it with previous versions and visually inspect real-time changes. Signals Notebook allows users to record detailed information about ingredients used in formulation experiments through data tables.

Step 5

Ingredients can be linked to individual materials managed in the building materials library of Signals Notebook. To add an ingredient, users can select from on-screen items or perform a type search.

Step 6

Narrow down options, such as identifying sodium hydroxide, to streamline the selection process.

Step 7

Utilize the embedded Tableau capabilities to conduct a structure-based search. This allows you to quickly find chemical surfactant SDS to be added as an ingredient, linking the ingredient to the actual material while capturing structural and chemical/physical properties, including hazards information.

Step 8

When the percentage of compensation is defined in the formulation table, automatic calculations are performed to record the actual amount needed for each ingredient.

Step 9

Additionally, track the specific formulation container and its location using the built-in inventory system. For example, track the sodium hydroxide ingredient from container 2101.

Step 10

Container details reveal it is stored at the Waltham office in storage cabinet one, originally containing 100 grams.

Step 11

After using 0.5 grams, the quantity is automatically updated to 99.5 grams in real time. This function enables organizations to monitor material quantities effectively.

Step 12

To set up a formulation screening experiment, use the variations table in Signals Notebook to configure multiple formulations, effectively varying the percentage of compensation.

Step 13

As shown in this example, three formulations sharing the same ingredient but with different percentage variations are created. Users can compare formulation compensation in either horizontal or vertical view.

Step 14

To test the formulations, create samples representing each formulation variant with unique sample IDs. Formulation testing proceeds by creating tasks for each sample, requesting pH and cleaning efficacy tests.

Step 15

Tasks can be assigned to a group or an individual. In this case, all tasks are assigned to Alex White, and the task status is updated from 'new' to 'submitted.' Alex White receives notifications of task assignments.

Step 16

After reviewing the assignment, Alex accepts the tasks and creates a task experiment.

Step 17

The requester is notified of the status change, indicating that tasks are now 'In Progress.' To document the experiment, Alex attaches the test protocol in PDF format.

Step 18

Alex specifies the instrument used in the experiment, such as a Toledo pH meter tracked in the instrumental library, including make, model, and last calibration date.

Step 19

Alex proceeds to conduct the test and log results in the data table, specifying pH values and individual cleaning efficacy.

Step 20

The task status is updated, triggering a notification to the requester that the tasks are complete. Revvity Signals Software enables users to query, visualize, and analyze data across experiments and projects.

Step 21

Data can be published from Signals Notebook experiments into the Data Factory backend.

Step 22

With formulation and test results published, users can query data using Signals global search by selecting a project. This includes formulation ingredients and test results.

Step 23

A summary table reveals six formulations published across two experiments with 96 associated data points.

Step 24

Results can be downloaded and visualized using the integrated Spotfire data visualization tool. The summary table provides key information across different formulations for comparison.

Step 25

Performance metrics captured during testing can also be compared. Users have access to raw data tables, and visualizations can be saved back to Signals Notebook, offering a comprehensive view of formulations and performance as more data is published over time.

Step 26

With this overview, you now have a comprehensive understanding of the capabilities of Revvity Signals Software for data capture, organization, and data visualization analytics in applied markets. Thank you for your attention.