Cleared spheroid of a co-culture of HCT-116-GFP (colon cancer) / NIH-3T3-RFP (fibroblasts) cells stained with Hoechst for nuclei.
Sample courtesy of InSphero AG. Schlieren, Switzerland Sample courtesy of InSphero AG. Schlieren, Switzerland
Use Case

Organoids Research

Streamline organoid analysis and spheroid screening with high-content 3D imaging solutions for faster research outcomes

Overcome 3D Cell Culture Imaging Challenges with Advanced Organoid Solutions Traditional imaging approaches struggle with the complex 3D architecture of organoids and spheroids, limiting throughput and compromising data quality in drug discovery workflows. ZEISS advanced imaging systems solve these challenges by delivering high-resolution 3D visualization, gentle live-cell monitoring, and automated high-content screening capabilities that accelerate your research from disease modeling to therapeutic development. Transform your organoid workflows with imaging solutions designed specifically for the unique demands of 3D cell culture research.
  • High-Resolution 3D Cell Culture Imaging

    Visualize complex organoid and spheroid structures with exceptional detail, enabling precise analysis of cell organization, lumen formation, and tissue morphology critical for disease modeling and drug discovery applications.

  • Gentle Live-Cell Monitoring for Dynamic Studies

    Track growth, differentiation, morphogenesis, and drug responses in real-time without phototoxicity, preserving organoid viability for extended time-lapse studies essential for therapeutic development.

  • Automated High-Throughput 3D Analysis

    Scale your organoid screening workflows with automated image acquisition and quantitative analysis, accelerating drug discovery timelines and reducing manual intervention for consistent, reproducible results.

ZEISS arivis software has allowed us to extract crucial insights from our high-content imaging experiments, leading to better-informed decisions in drug discovery and development.

Marta da Silva, PhD Senior Scientist, Charles River Laboratories

Configure your Axioscan 7 for Spatial Biology

Workflow automation for spatial biology at scale

The new Axioscan 7 Spatial Biology Configuration is designed to maximize efficiency, accuracy, and reproducibility for multiplex immunofluorescence (mIF) and high-throughput spatial biology workflows.

Organoids Research FAQs

  • Organoids often exceed 200-500μm in thickness, making traditional confocal imaging challenging due to light scattering and phototoxicity concerns. ZEISS Lightsheet 7 and Lattice Lightsheet 7 systems provide gentle, rapid volume imaging with minimal photodamage, enabling extended time-lapse studies. The lightsheet approach illuminates only the focal plane being imaged, dramatically reducing photobleaching while maintaining exceptional image quality throughout the entire organoid volume.

  • ZEISS microscopes such as Celldiscoverer 7 and LSM 980 with Airyscan offer environmental control (CO₂, humidity, temperature) and sensitive detectors to ensure high-quality imaging with minimal phototoxicity, enabling researchers to monitor development and response to treatment in real time.

  • This requires balancing resolution with field of view - a common challenge in organoid research. The ZEISS LSM 990 Lightfield 4D provides enhanced sensitivity for deep confocal imaging, while Lattice SIM 3 offers super-resolution capabilities when subcellular detail is critical. For comprehensive workflows, arivis Pro enables seamless integration of multi-scale datasets, allowing you to correlate molecular-level events with tissue-scale organization patterns.

  • Core facilities need versatile platforms that can support everything from basic morphology to advanced live-cell imaging. ZEISS systems offer modular configurations - the LSM 990 can be equipped for routine organoid imaging and upgraded for specialized applications, while the Celldiscoverer 7 serves both screening and detailed analysis needs. arivis Pro provides consistent analysis workflows across different imaging modalities, reducing training overhead and ensuring reproducible results regardless of which system users choose..

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