Do you find it clunky to annotate roles on plates by hand? The Plate Annotator can suggest well role annotations for a plate map using just plain text input.
This is a Benchling AI feature. See the AI at Benchling page for information on how to enable this and other AI-based features.
This feature is in preview, so keep in mind that it is a work in progress.
Use Plate Annotator
Once the feature is enabled, you will see the Plate Annotator tab in the plate map modal. To use the plate annotator:
- Navigate to the plate annotator tab, which will open the text box for your prompt
- In the text box will be able to add your prompt and the AI assistant will generate a role annotation suggestion for you to preview on the plate map
- Try describing the role layout in plain English, or copying in role annotations from another format, like a table or CSV
- Click Apply to apply the preview to your plate map. Alternatively click Discard if you do not want to use the annotations in the preview
If the suggestion doesn’t quite match your requirements, you can always apply it and make small edits manually using the standard role annotation tools.
Note: Switching to the Annotate Manually tab without applying the suggestion will result in losing the AI-suggested well roles. Make sure you apply the suggestion before annotating manually if you want to edit the AI-generated annotations.
The tool will consider any existing applied annotations (but not previewed suggestion) as context when annotating your plate. This means that the AI assistant can fill out the rest of an annotation following an existing pattern, or modify annotations already existing on a plate map.
Feedback
We value your feedback to help us improve this new tool. Using the thumbs up/down buttons helps us get a sense of if the tool is being found useful. You can also click the Tell us more button to provide us with an explanation or more detail.
Security and Privacy
For more information about the privacy and security for AI-powered features, please see Data protection and security for AI at Benchling.