00:05 With Labguru Automation, you can now improve your lab processes, save time, streamline workflows, and achieve remarkable results.
00:13 To start, the user uploads a file containing the output data to their Labguru experiment. Once the file is created, the Workflow Editor flow is triggered.
00:24 In this case, the flow automates the creation of an IC50 plot and the summarization of data based on the row information.
00:32 Let's look at the workflow steps. We set the trigger event, which is when an attachment is created in Labguru.
00:40 Next, we included condition steps in order to determine when the workflow should proceed. This ensures the flow runs in specific scenarios.
00:51 Lastly, we extract data from the experiment, download a relevant file, and run a Python script for data analysis. The results are automatically updated within Labguru.
01:04 The Workflow Editor seamlessly processes the data, providing visually appealing plots for each compound from the row data.
01:17 The results are immediately displayed within a dataset, allowing for quick analysis and comparison between different experiments results. This significantly reduces the time and effort required for data processing and eliminates the risk of human error.
01:36 Labguru's interconnected ecosystem ensures that the dataset is automatically linked to the experiment and each compound inventory item. This seamless integration provides a comprehensive overview and makes it easier to track changes in real-time.
01:53 The Workflow Editor offers an intuitive and user-friendly interface, making it incredibly easy to design your automation flows.
02:02 Experience the power of Labguru Workflow Editor and witness the transformation it brings to your lab.