Agilent Launches AI-Driven Analysis Module for Agilent xCELLigence RTCA eSight

About this update from Agilent Technologies, Inc.

Simplifying label-free imaging analysis for more confident real-time cell analysis SANTA CLARA, Calif., July 01, 2026--(BUSINESS WIRE)--Agilent Technologies Inc. (NYSE: A) today announced the launch of Agilent xCELLigence RTCA eSight AI, a new AI-powered software module that simplifies label-free imaging analysis by reducing manual cell segmentation steps and parameter tuning and supporting more consistent results. The software upgrade enhances the unique dual-readout capabilities of the Agilent xCELLigence RTCA eSight instrument with AI-driven cell imaging analysis, enabling researchers to gain imaging and impedance insights from the same cells in the same experiment with greater speed and confidence. This streamlined, integrated approach is expected to provide biopharma researchers with a more complete view of cell behavior while reducing variability across users and conditions. Traditional cell segmentation workflows rely on time-consuming and subjective manual setup and analysis steps that increase variability, error and rework, slowing experimental timelines while also requiring a higher level of experimental expertise to achieve consistent results. As biopharma research increasingly demands more complex experiments, higher throughput and greater consistency, integrated workflows are key to efficient scientific progress. AI-driven imaging analysis can help reduce variability across users while decreasing time spent on manual analysis. By replacing subjective, user-influenced thresholding and manual parameter tuning with a one-click approach, the new module delivers standardized analysis across skill levels, experiments and datasets. eSight imaging AI analysis is designed to ensure confident, reliable performance across users, cell types and assay conditions, providing the robustness and accuracy essential for real-world science and users with varying levels of imaging expertise. The new module is expected to reduce time spent on manual analysis, rework and training while supporting broader application of label-free imaging workflows, specifically within drug discovery and in high-throughput biopharma research. "The AI analysis module for xCELLigence RTCA eSight has substantially reduced the time our users spend for image analysis," said Carole Perrot, Ph.D., core facility director at Johns Hopkins All Children's Hospital. "Its automated, consistent p...

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