QuantaCell extracts robust quantitative data from 3D organoid, spheroid and tissue model images.

• 3D segmentation and reconstruction
  Detection of organoids, spheroids, cells, nuclei and relevant 3D structures from image stacks.
• Morphological measurements
  Quantification of volume, diameter, surface, shape, compactness and structural heterogeneity.
• Fluorescence-based quantification
  Measurement of marker intensity, expression patterns and signal localization in 3D.
• Spatial measurements
  Analysis of cell localization, distribution and organization within 3D models.
• Condition-based comparisons
  Quantitative comparison of image-derived features across treatments, time points or experimental groups.

Applications of QuantaCell’s 3D image analysis for organoids, spheroids and 3D tissue models.

• Cellular phenotyping and cell type classification
  Characterize cell populations based on morphology, marker expression and spatial localization.
• Treatment response assessment
  Measure how compounds affect organoid growth, morphology, viability, invasion or degradation.
• Detection of biological structures
  Identify structures such as rosettes, crypt-like regions, lumens, necrotic cores or other relevant compartments.
• Spatial biology in 3D models
  Study cell organization, distribution and interactions within organoids, spheroids or patient-derived cultures.
• Small-molecule screening
  Automate quantitative readouts across multiple compounds, doses or experimental conditions.
• Patient-derived organoid analysis
  Quantify patient-specific responses in translational research and precision medicine studies.