A comprehensive understanding of the physiological state or health of your cells is vitally important for achieving reliable experimental outcomes, as results are highly dependent on the initial condition of the cells. Commonly investigated aspects of cell health include cell stress, apoptosis, necrosis, autophagy, metabolic phenotype, and morphological alterations.
Traditional biochemical and imaging assays typically provide only endpoint measurements, lacking the biological and temporal context needed to fully understand dynamic cellular processes. To address these limitations, Agilent offers a broad portfolio of live cell–based solutions designed to capture cell morphology, function, and behavior over time.
By combining complementary technologies such as high content live cell imaging with the Agilent BioTek Cytation 9 cell imaging multimode reader, real time metabolic analysis with Agilent Seahorse XF technology, and label free kinetic monitoring with Agilent xCELLigence RTCA, researchers can assess cell health from multiple perspectives. This integrated approach enables scientists to determine not just whether cells are viable, but how they function over time.
Together, these platforms unify imaging, functional measurements, and real time kinetic analysis to deliver both rich phenotypic insight and quantitative robustness. Whether characterizing the metabolic signatures of immune cell activation or monitoring the long-term structural integrity of complex 3D organoids, this flexible ecosystem empowers laboratories to move beyond static endpoint snapshots and capture the full kinetic narrative of cellular health and disease.
Kinetic tracking of live cells is vital for accurate cell death quantification. This 72-hour study reveals that using absolute fluorescent apoptosis counts skews EC50 values due to ongoing cell proliferation. Utilizing the Cytation to capture whole wells allows researchers to normalize fluorescent signals against label-free total cell counts. This critical morphological normalization eliminates bias, revealing true dose-response metrics and precise onset times for varying cell death mechanisms.
Quantifying neuronal morphology is crucial for neurobiology research. This study evaluates neurite outgrowth in human iPSC-derived and primary mouse neurons exposed to known modulators. By tracking structural metrics like total neurite length, branching, and soma counts, distinct dose-dependent responses were uncovered. For instance, triptolide significantly inhibited neurite complexity in human iPSCs. The Cytation combined with Gen5 software seamlessly automated this complex multidimensional analysis.
Endpoint viability assays often confound growth arrest, adaptive stress, and committed cell death—an issue amplified in 3D cultures and organoids due to spatial heterogeneity and asynchronous responses (1). These limitations are well recognized in NAM frameworks, where mechanistic confidence and reproducibility are emphasized over single endpoint measurements (3).
Organoid assays show intrinsic variability in size, morphology, and growth. Without explicit QC gates, this variability can mask treatment effects and undermine reproducibility—key concerns driving the adoption of NAM and organoid standardization efforts (1,3).
The BioTek Cytation 9 offers flexible, high-resolution analysis of cell health and morphology. Whether analyzing the intricate dendritic branching of neurons to the dense 3D architecture of organoids, the platform delivers the phenotypic clarity needed to track cellular fitness over time. Automated Z-stacking transforms thick biological samples into fully focused insights, while precise environmental controls maintain the stability required to capture the kinetic narrative of sensitive live-cell models. By bridging the gap between structural morphology and functional readouts, the Cytation 9 provides a comprehensive view of cellular fitness.


Seahorse XF technology enables the real-time measurement of cellular bioenergetics by simultaneously quantifying oxygen consumption rate (OCR) and extracellular acidification rate (ECAR). This provides direct insight into mitochondrial respiration and glycolytic activity, revealing cellular stress, activation, toxicity, or dysfunction, often before detectable morphological alterations enabling early functional characterization of cell health. Seahorse XF is widely used to assess mitochondrial health and metabolic flexibility across 2D and 3D models, supporting applications in disease modeling, drug screening, and cell quality assessment.
xCELLigence Real‑Time Cell Analysis (RTCA) systems provide continuous, label‑free, noninvasive monitoring of cell health using impedance‑based Cell Index (CI) measurements. Signals are captured via gold microelectrodes embedded in E‑Plate microtiter plates. As cells attach, spread, proliferate, and undergo morphological changes, dynamic changes in impedance enable uninterrupted monitoring. Each cell line exhibits a distinctive CI profile, deviations from which provide immediate insights into changes in cell health, enabling early detection of cytotoxicity, stress, or functional alterations.

In modern research, understanding biology demands that we connect diverse data types: kinetic, spatial, and functional. Agilent BioTek Cytation 9 technology empowers you to bridge these dimensions across your research program. By combining advanced quantitative imaging with multimode detection, it enables you to investigate cellular and biomolecular processes from multiple angles, when and where it matters most.
This webinar will showcase how you can expand your imaging capabilities across additional channels while seamlessly integrating rapid, multimode detection. With refined environmental control and faster acquisition speeds, Cytation 9 supports studies ranging from live-cell dynamics to mechanistic investigation, allowing you to align pathway-level signals with cell-state transitions over time.
We’ll present case studies spanning a range of applications, from rapid plate-based kinetic measurements to high-resolution imaging and protein-protein interaction assays. Whether you’re analyzing proliferation, migration, complex 3D models, or studying signaling pathways, you’ll see how orthogonal approaches strengthen your conclusions.