AI.SEE™ is an AI-based software solution that is suitable for automated image analysis and quality control in laboratories. It uses advanced deep learning to precisely analyse microscope images.

How is AI.SEE™ integrated into existing laboratory systems?

AI.SEE™ can be seamlessly linked to existing microscope systems via retrofit integration. Digital microscopes are integrated without additional hardware, while analogue microscopes require a camera adapter for image acquisition. The microscope serves as an imaging system that sends images to the AI.SEE™ software for automated AI analysis. The images and results can be viewed via a connected tablet or computer. The integration does not require extensive retrofitting or high investment and is designed to be user-friendly.

What advantages does AI.SEE™ offer?

AI.SEE™ uses AI-based processes to increase the accuracy and efficiency of image analysis, reduce human error and significantly speed up the analysis process. Unlike conventional industrial image processing, AI.SEE™ is able to recognise even the most complex features despite noisy backgrounds or low contrast. Not only is it easy to process large volumes of data at high speed, but the solution also learns with every image analysed.

What are the requirements for AI integration?

The only requirement is the ability to take images of the desired slides and features that can be used to train the AI model.

In AI training, an artificial intelligence (AI) is trained using large amounts of data - in this case image data - to recognise and interpret specific patterns and features. To analyse images effectively, the AI must be trained with a large number of images representing different scenarios and conditions. This enables the AI to achieve accuracy and reliability in automated analysis and efficiently perform complex tasks such as quality control in the laboratory.

Qualitätsprüfung im Labor mit KI - präzise Analysen mit AI.SEE™

What is AI.SEE™?
AI.SEE™ is an AI-based software solution that is suitable for automated image analysis and quality control in laboratories. It uses advanced deep learning to precisely analyse microscope images.
How is AI.SEE™ integrated into existing laboratory systems?
AI.SEE™ can be seamlessly linked to existing microscope systems via retrofit integration. Digital microscopes are integrated without additional hardware, while analogue microscopes require a camera adapter for image acquisition. The microscope serves as an imaging system that sends images to the AI.SEE™ software for automated AI analysis. The images and results can be viewed via a connected tablet or computer. The integration does not require extensive retrofitting or high investment and is designed to be user-friendly.
What advantages does AI.SEE™ offer?
AI.SEE™ uses AI-based processes to increase the accuracy and efficiency of image analysis, reduce human error and significantly speed up the analysis process. Unlike conventional industrial image processing, AI.SEE™ is able to recognise even the most complex features despite noisy backgrounds or low contrast. Not only is it easy to process large volumes of data at high speed, but the solution also learns with every image analysed.
What are the requirements for AI integration?
The only requirement is the ability to take images of the desired slides and features that can be used to train the AI model.
What is AI training?
In AI training, an artificial intelligence (AI) is trained using large amounts of data - in this case image data - to recognise and interpret specific patterns and features. To analyse images effectively, the AI must be trained with a large number of images representing different scenarios and conditions. This enables the AI to achieve accuracy and reliability in automated analysis and efficiently perform complex tasks such as quality control in the laboratory.