Plate Annotator

Chandler
Chandler
  • Updated

Note: The Plate Annotator is a Benchling AI feature. See the AI at Benchling page for information on how to enable Plate Annotator and other AI-based features.

This feature is in preview, so keep in mind that it is a work in progress. 

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.

 

Using Plate Annotator

Once the feature is enabled, you will see the Plate Annotator tab in the plate map modal:

After navigating to this tab, you will be able to input a prompt, and the AI assistant will generate a role annotation suggestion. Try describing the role layout in plain English, or copying in role annotations from another format, like a table or CSV. This suggestion will be previewed for you on the plate map and you can discard or apply 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. So make sure you apply the suggestion (by clicking the “Apply” button) before annotating manually if you want to edit the AI-generated annotations.

Note that the tool will consider any existing applied annotations (but not a 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.

 

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