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. 2023 Jul 20;14:1188835. doi: 10.3389/fimmu.2023.1188835

Table 1.

Selected quantitative image analysis methods to measure spheroid outgrowth, their advantages and limitations.

Tool Measurement Advantages Limitations
Las X 3D viewer Length
Counting
Visualisation in 3D
True length measured
Requires high-quality Z-stack images
No automated method available
ImageJ « Sprout morphology » plugin (34) Nb. of sprouts
Total sprout area
Total sprout length
Average sprout length
Branching level
Standardised and automated
Information on length and network complexity
Reduced experimenter bias
Loss of 3D information
Low versatility
Requires further optimisation to compute multicellular system
AQuTAS (35) Sprout area
Total sprout length
Nb. of associated sprouts and non-associated sprouts
Standardised and automated
High throughput analysis
Information on length and morphology
Reduced experimenter bias
Loss of 3D information
Low versatility
Requires further optimisation to compute multicellular system
CI Convert/QuPath Spheroid outgrowth area
Core area
Additional features: intensity, cell detection, distances
Semi-standardised and semi-automated
Compute multiple channels
Robust and versatile
Loss of 3D information
No information on length, network complexity or morphology