Incucyte® Organoid Analysis Software Module (Cat. No. 9600-0034)
The Incucyte® Organoid Analysis Software Module enables automated acquisition and label-free analysis of organoids throughout the organoid workflow.
Now supported on the Incucyte® CX3 instrument, enabling automated, label-free monitoring and analysis of organoid cultures using brightfield and confocal fluorescence imaging (requires software version 2025c or higher).
- Characterize the differentiation and maturation of Matrigel® embedded organoid cultures in 24- or 48- well plates
- Reproducibly form organoids and evaluate treatment effects on viability within the same plate
- Module available for Incucyte® SX5, S3, SX1 (Brightfield imaging) and CX3 (Brightfield and Confocal fluorescence imaging) Live-Cell Analysis Systems.
Incucyte® Organoid Analysis Software Overview
The Incucyte® Organoid Analysis Software Module enables kinetic acquisition and objective assessment of organoids within a physiologically relevant environment.
The integration of optimized protocols and Incucyte® software enables you to standardize your entire organoid workflow, from generation, maintenance and analysis, using imaged-based, label-free measurements. Characterize and assess organoid maturation and morphology during cell culture and probe the effects of treatments through unbiased assessment of size, count and morphology.
The Incucyte® Organoid Analysis Software automatically locates and analyzes organoids, delivering reproducible insights into morphology, size, and count for applications in cancer, regenerative medicine, and organoid biology. Both the Organoid QC and Assay scan types are supported using brightfield imaging on S-Series and CX3 instruments, while the CX3 additionally enables confocal fluorescence alongside brightfield imaging, providing multi-color fluorescence capability within the Organoid Assay scan type.
Incucyte® Organoid Workflow
| Product | Qty. | Cat. No. |
| Incucyte® Organoid Analysis Software Module | 1 module | 9600-0034 |
| Incucyte® SX5 Live-Cell Analysis System | 1 instrument | 4816 |
| Incucyte® CX3 Live-Cell Analysis System | 1 instrument | Explore the CX3 |
Incucyte® Organoid Analysis Software Features
Software Features
Make informed decisions about organoid culture status, growth or death with the Incucyte® Organoid Analysis Software Module, automating your organoid workflow to make data-driven decisions in real time.
- Automatically locate and analyze organoids embedded in Matrigel®, and visualize differentiation, maturation (24-, 48-well plates) or death (96-well plates) of organoids, up to 6 plates in parallel
- Test and select organoid culture conditions or evaluate drug treatments using label-free, quantitative data
- Monitor all wells in your organoid assay plate continuously for days, weeks or months
Process images of every well with user-friendly guided interface (A) and assess experimental conditions using Incucyte® Vessel View (B). Integrated kinetic analysis shows powerful insight for the characterization of advanced cell models (C).
Characterize Organoid Cultures with Fully Integrated Kinetic Analysis
- Evaluate growth conditions with kinetic analysis and multiple label-free metrics
- Define analysis parameters and easily apply across all selected time points, wells and multiple experiments
- Generate publication ready graphs, microplate graphs, and movies and to improve productivity, throughput and collaboration
Derive meaningful data using validated protocol over multiple tissue samples and integrated analysis tools to visualize changes of morphology to exemplify differences in organoid culture.
Quantify Organoid Growth/ Death using Label-free Analysis
- Improve efficiency and reproducibility of workflows by seeding cells, forming organoids, and adding treatments all within the same plate
- Perform real-time, multiparametric analysis of organoid growth and death to better predict physiological therapeutic outcomes
- Study organoid growth and death and standardize the analysis of organoids over time, to generate reproducible, physiological relevant data.
