PopulationProfiler

PopulationProfiler processes per-cell quantitative measurements from image-based cell screening experiments to generate population-level statistics that preserve cellular heterogeneity and enable analysis of subpopulations and drug-induced cell cycle perturbations.

Key Features:

• Data import: Imports quantitative per-cell measurements from straightforward text files.
• Population statistics: Transforms per-cell measurements into comprehensive population statistics while preserving information on cellular heterogeneity.
• Visualization: Visualizes population distributions for efficient inspection of population-level readouts.
• Gating: Creates gates for subpopulation classes based on control samples to identify distinct cellular subpopulations.
• Flow cytometry comparison: Enables comparison of image-derived population profiles with traditional flow cytometry data.
• Drug effect analysis: Supports analysis of drug-induced perturbations of the cell cycle.
• High-throughput scaling: Handles large-scale image-based screening datasets comprising tens of thousands of images and hundreds of cells per image.

Scientific Applications:

• Image-based screening analysis: Analysis and visualization of quantitative measurements from image-based cell screening experiments.
• Subpopulation identification: Identification and quantification of distinct cellular subpopulations using control-sample-based gates.
• Pharmacological response studies: Investigation of complex cellular responses to pharmacological agents, including drugs that perturb the cell cycle.
• Cross-platform comparison: Comparison and validation of image-derived population statistics against flow cytometry data.
• Cellular heterogeneity studies: Studies focused on population variability and single-cell–level heterogeneity within treatments.

Methodology:

Imports quantitative data from text files, transforms per-cell measurements into population statistics, creates gates for subpopulation classes based on control samples, visualizes population distributions, and supports comparison with flow cytometry data.