New updates and improvements
V7 Darwin

Dataset filtering options available in V7 Darwin have just been upgraded. You can now search the full content of text properties to identify whether specific words or phrases have been mentioned. For example, it is possible to automatically generate descriptions of images with AI models and then use them for sorting and filtering files.

• You can combine text search with other dataset filters

• The search engine for filtering is case-insensitive and will find all instances of a word

• To search for multiple words or phrases, add them as multiple filters and set up and/or conditions (you can combine up to 20 filters)

• The searched text string should be between 3 and 1000 characters.

This functionality is especially useful for navigating large datasets and pinpointing specific items.

You can now use item-level properties as conditions inside any Logic Stage in V7 Darwin. This feature introduces new conditions that let you set up parallel branches in your annotation workflows. For example, if a property is set to a specific value or is missing, an item can be routed back to a previous annotation stage or moved to a custom review stage.

New Conditions:

• Verify whether an item property is defined (Item Property is Set/Is Not Set)

• Evaluate if an item property contains specific values (Item Property Is Any Of/Is None Of)

To use this functionality, configure the desired properties in your class management tab and then open the workflow editor to add or modify Logic Stages.

V7 Darwin now supports Audiowave Visualization. This new feature allows you to overlay an audiowave onto the video timeline. This feature is ideal for use cases such as conversation analysis. You can visualize audio patterns while labeling conversations, which makes the process more intuitive and accurate.

• Toggle an audiowave overlay on the video timeline with Shift + A

• Use Ctrl + mouse up/down to amplify audio segments for improved clarity

• Navigate with smooth playhead movements instead of frame-by-frame jumps

This feature currently supports audio extracted from videos and does not work with audio files. Labels remain tied to video frames rather than specific audio segments, ensuring alignment with existing video-based workflows.

Oblique Views (also called Rotating Crosshairs) is a new visualization tool for medical imaging professionals working with DICOM files. It enables exploration of 3D structures in Multi-Planar Reconstruction (MPR) DICOMs on non-standard planes.

Key Features

• Interactive Crosshairs: Rotate planes with grabbers (dots on crosshairs) using distinct colored lines (red, green, and blue) for each axis.

• Oblique Plane Visualization: View MPR DICOMs at non-standard angles.

• View Synchronization: Adjusting one plane automatically aligns all views to the same voxel.

• 3D Mask Support: Visualize 3D masks in oblique views.

How to Use

To use Oblique Views, open a DICOM file in V7 Darwin. Activate the Crosshairs tool using the hotkey R or select it from the interface. On the first use, a brief introductory modal will appear, which you can dismiss permanently. Once active, the crosshairs, with distinct red, green, and blue lines representing each axis, allow you to rotate planes. Adjusting one plane automatically aligns all views to the same voxel for synchronized exploration.

Limitations

Oblique Views is a visualization-only tool and does not support annotation editing. Only 3D masks can be visualized in oblique views, as vertice-based annotations are not supported. Additionally, selecting certain annotation tools, such as the Brush, will revert views to standard planes. This feature is designed to enhance exploration and analysis without altering existing annotations.

The 3D thresholding brush now has an improved UI. You can quickly adjust threshold levels and preview which areas of your medical images will be affected by the brush or eraser. Once set, you can annotate with the 3D brush faster than ever and instantly visualize the annotated regions of interest.

Dataset management has just gotten easier with advanced filters for item attributes. Filter your V7 Darwin datasets with multi-select and single-select item attributes. You can add additional criteria and use logical operators to refine the results, which will update instantly.

This update comes in direct response to user feedback, particularly from teams working extensively with item attributes. Support for text-based attributes and filtering with operators like "starts with" and "contains" is currently in development. Stay tuned for more updates coming soon.

The new image blending functionality lets you visualize multiple layers simultaneously, with individual control over brightness and intensity for each channel.

This update has been built with microscopy and digital pathology in mind. Image blending lets you merge channels—like combining yellow, pink, and blue channels—into a cohesive view or work with different staining. The upcoming interface changes will include opacity controls and reset options for precise adjustments.

Before the update, Single-select and Multi-select properties had to be applied to specific annotations and classes, like a bounding box. Now, you can add them independently as Item Attributes—custom fields that apply to entire files or groups of files, rather than specific regions. This feature helps you capture higher-level insights and contextual information.

With Item Attributes, you can:

• Add Single-select, Multi-select, or Text fields that apply to whole files

• Make specific fields required to ensure data completeness

• Display attributes and questions in the annotation panel

• Capture information that spans across multiple files

To add Item Attributes, go to the Classes tab in your dataset. Set up Single-select, Multi-select, or Text type attributes and write questions/instructions for annotators. Additionally, it is possible to make attributes required before moving files to the next workflow stage.

Learn more: https://docs.v7labs.com/docs/item-attributes