...

Agilent Launches Gen5 AI Cell Identification Module for BioTek Automated Cell Imagers

AI cell identification

Agilent Technologies Inc. (NYSE: A) has launched the Agilent BioTek Gen5 AI cell identification module. The new software add-on brings AI-based cell identification and segmentation into BioTek Gen5 imaging analysis.

The Agilent BioTek Gen5 AI cell identification module works with compatible Agilent BioTek automated imaging systems. It uses AI-based segmentation without conventional threshold settings. Researchers also do not need to tune analysis parameters manually.

As a result, the module can reduce several manual image-analysis steps. It also supports consistent cell counting and confluence analysis across supported applications. Moreover, researchers can use the capability within the familiar Gen5 software environment.

“With the Gen5 AI Cell Identification Module, Agilent is bringing AI-based segmentation directly into the established BioTek imaging workflow,” Xavier Amouretti, vice president and BioTek business unit leader at Agilent, said. “This practical application of AI is designed to reduce the effort associated with image analysis and help researchers move more efficiently from image acquisition to quantitative results.”

Simplifying AI-Based Cell Image Analysis

Traditional threshold-based segmentation often requires researchers to set analysis parameters. They may also need to optimize those parameters for individual experiments. Therefore, the process can add extra work to image-analysis workflows. These additional steps can also introduce differences between users. Such variation can become more challenging as laboratories increase imaging throughput. At the same time, research teams continue to generate larger volumes of image-based data.

The Agilent BioTek Gen5 AI cell identification module addresses these challenges with an AI-based segmentation approach. It brings this capability directly into established BioTek imaging workflows. Consequently, researchers can simplify image analysis without changing their familiar software environment. The module supports several commonly used research applications. These include label-free and fluorescence assays. It also supports live-cell and kinetic assays.

The module can also be used by researchers with compatible Agilent BioTek Cytation and Lionheart automated imagers. It integrates with Gen5, enabling researchers to use AI-based segmentation within their current imaging assays. This combination can help labs keep existing workflows. It can also reduce the need for repeated manual adjustments during the image analysis. Therefore researchers can spend more time reviewing quantitative results and biological findings. 

Expanding Automated Imaging Capabilities

The launch expands the image-analysis capabilities available through Gen5. It also highlights Agilent’s continued focus on laboratory automation and AI-based technologies. By reducing conventional threshold-setting requirements, Gen5 AI can simplify supported image-analysis applications. The module also reduces the need for extensive parameter tuning. Therefore, researchers can access AI-based cell analysis through an established imaging workflow.

The Agilent BioTek Gen5 AI cell identification module can support a broad range of life science research needs. These applications include cell biology and neuroscience. They also include drug discovery research and related biological studies.

In addition, automated imaging can help research teams handle increasing imaging workloads. AI-based segmentation can enable more consistent analysis across applicable experiments . This can be useful as labs move to higher-throughput imaging.

In addition, the integration links image acquisition with quantitative analysis. This enables investigators to move more efficiently through the different stages of their imaging workflows. Agilent’s latest launch is part of the growing use of AI in laboratory research. The company has built AI-based functionality into its BioTek imaging environment. Researchers can use the technology within familiar workflows thanks to this approach. 

Overall, the new module adds AI-based cell identification and segmentation to compatible BioTek automated imaging systems. It also gives researchers another option for simplifying cell image analysis. Through Gen5, Agilent continues to expand tools for automated imaging and quantitative research.

Explore Health Tech Insiders for the latest medical innovations and reliable strategic insights driving the future of technology-driven healthcare transformation.

News Source: Businesswire.com