CellProfiler Analyst: Software for Analyzing Image-Based Screens
Author Information
Author(s): Thouis R. Jones, Kang In Han, Wheeler Douglas B., Lindquist Robert A., Papallo Adam, Sabatini David M., Golland Polina, Carpenter Anne E.
Primary Institution: Broad Institute of MIT and Harvard
Hypothesis
Can we develop software that allows researchers without computational skills to explore and analyze high-dimensional image-based data?
Conclusion
The system enables interactive data exploration for image-based screens and automated scoring of complex phenotypes that require combinations of multiple measured features per cell.
Supporting Evidence
- The software allows for the analysis of 2.8 million cells with 396 features each.
- CellProfiler Analyst can handle the large volumes of data typical in image-based experiments.
- Sequential gating was used to score complex phenotypes effectively.
- Interactive observation of original cellular images aids in making gating decisions.
Takeaway
This study created a software tool that helps scientists look at lots of images of cells and find important patterns without needing to be computer experts.
Methodology
The software was developed to analyze high-dimensional data from image-based screens, allowing for interactive exploration and scoring of complex phenotypes.
Potential Biases
Researchers may unintentionally introduce bias by focusing on certain features while ignoring others.
Limitations
The software may require adjustments between different experiments due to variability in staining intensity.
Participant Demographics
Drosophila melanogaster Kc167 cells were used in the study.
Statistical Information
P-Value
p<0.01
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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