Introducing VisualAI: Integrated Artificial Intelligence for FlowCam

Introducing VisualAI: Integrated Artificial Intelligence for FlowCam

FlowCam software VisualAI graphic logo

We're excited to announce the release of VisualAITM software for protein biotherapeutics. An add-on for VisualSpreadsheet 6, VisualAI is a pre-trained, AI-driven image analysis module to recognize images of subvisible aggregates in biotherapeutics captured on any FlowCam 8100 or FlowCam LO instrument.

VisualAI is a powerful tool for quantifying protein aggregate and silicone oil droplet content in any protein-based drug product.

FlowCam with VisualAI provides a completely off-the-shelf yet powerful solution for differentiating subvisible particles in your protein formulations—no AI expertise, training data collection, image library preparation, or AI model training required. Out of the box, VisualAI achieves higher than 90% classification accuracy on particles larger than 3 µm in diameter. The software also includes features that can be used to identify anomalous particles such as calibration beads and air bubbles. 

FlowCam VisualAI software interface

The graphical user interface of VisualAI (Click to enlarge): (Left) Sample image collage from a sample containing 50% protein aggregates and 50% silicone oil droplets. This sample was prepared as described in the White Paper. (Right) Collages in VisualAI’s graphical user interface showing the images identified by AI utilities that contain (top) protein aggregates, (middle) silicone oil droplets, and (bottom) other particles. 

FlowCam with VisualAI provides the ability to streamline subvisible particle analysis in biotherapeutics by providing a uniform tool across different drug products and formulations. VisualAI is embedded in VisualSpreadsheet 6 and runs on any computer running VisualSpreadsheet – no need for powerful computing hardware.

visualai-white-paper-thumbnail-landscapeIn our new white paper “Robust AI Methods for Protein Biotherapeutics: VisualAI Software for Sample-agnostic Image Analysis With FlowCam” we present detailed performance results for VisualAI using images of different protein aggregates including monoclonal and polyclonal antibodies and silicone oil that were obtained with multiple FlowCam 8100 instruments.

We also demonstrate VisualAI’s effectiveness at measuring protein aggregate content in samples with known ratios of protein aggregates and silicone oil droplets.

Download our white paper


Post Topics

Related Posts

FlowCam scientist operating automated liquid handler, ALH for FlowCam
Using Automation with FlowCam: Frequently Asked Questions
Laboratory automation is essential in allowing researchers to decrease time and effort required to perform experiments and collect valuable data. ALH …
Read Post
FlowCam instrument rendering on benchtop with data on monitor
Choosing Your FlowCam Settings: A Configuration Guide for the FlowCam 8000 Series
Ensuring that your FlowCam instrument is using the correctly paired accessories along with the appropriate software settings for your application and …
Read Post
Need Supplies?

Find supplies and spare parts for your FlowCam instrument or ask for a quote. 

Order Now

Need Help?

Get technical support and application help. Request training or preventative maintenance.

Submit a Support Ticket

Need Information?

Check out our knowledge base including white papers, application notes, technical notes, and videos.

View Resources