Research in the modern age involves huge amounts of data, which in turn calls for many time-consuming data capture and data processing tasks. Labguru Workflow Editor is an add-on solution to the Labguru ELN which enables you to build custom automated workflows — saving time, reducing human error, and accelerating research and discovery.
Set your workflows to occur routinely, or as a reaction to user activities in the system.
Create a set of rules to define the exact circumstances in which the automation will be activated, and if necessary define points in which the workflow splits to accommodate different scenarios.
Without writing a line of code assemble predefined steps in chronological order to design the flow of the process.
If necessary, add custom code blocks of Python, Ruby, C#, and soon also R, to further tailor the automation to your lab’s needs.
Labguru Workflow Editor is a powerful tool that provides you with full control over your research and lab data — most actions that can be manually performed within Labguru can be automated using the Workflow Editor.
The workflow integrates with environmental monitors in a greenhouse, clean room, hood, or any other desired workspace, and retrieves data. The data is then structured using datasets, and when a new experiment is created, the environmental data gathered at that date and time is automatically entered.
The workflow performs automatic data validation and structuring, then runs complex calculations such as IC50. The results are visualized using graphs or tables.
The workflow imports large amounts of files (such as GeneBunk files) into the system, creates a new plasmid entry for each one, and auto-fills the fields. The workflow searches for exceptions set by the user — for example, create an antibody entry for each matching pair of plasmids (Heavy and light chains).
The workflow automatically creates new experiments and samples to be tested according to the customer’s request. When the experiment is finished, the workflow creates a report, calculates the pricing, and sends them to the customer.
The workflow tracks the training each lab member undergoes, calculates the time until the next training, and sends a notification when training is due.
The workflow automatically collects information from multiple ELN entries into a pre-defined CoA report template for batches produced in the Lab.
If you have basic knowledge of Python, we can easily teach you how to use the Workflow Editor and gain control of the system’s full capabilities. Our support team is made up of scientists with experience in all life science fields, who will gladly assist you in creating and implementing workflows.
We also offer a professional workflow development service - we can also create basic workflows that you can build upon, or develop full workflows fitted to your needs.