BaSiC

BaSiC corrects background and shading in optical microscopy images to mitigate spatial shading variations and temporal background fluctuations, enabling accurate quantitative analysis such as single-cell and time-lapse microscopy measurements.

Key Features:

• Low-Rank and Sparse Decomposition: Employs low-rank and sparse decomposition to separate true signal from noise for image correction.
• Spatial Shading Correction: Corrects spatial shading variations present across optical microscopy images.
• Temporal Background and Drift Correction: Corrects temporal background fluctuations and temporal drift in time-lapse microscopy data.
• High Accuracy with Minimal Input: Achieves high accuracy while requiring relatively few input images.
• Versatility Across Imaging Conditions: Functions effectively across a wide range of imaging conditions.
• Artifact Robustness: Demonstrates resilience against common imaging artifacts that can compromise image quality.

Scientific Applications:

• Single-cell quantification: Enables accurate per-cell intensity measurements in single-cell imaging experiments.
• Time-lapse microscopy: Improves continuous quantification in time-lapse experiments by correcting temporal drift and background bias.
• Quantitative bioimaging: Supports reliable and reproducible quantitative analysis in optical microscopy by removing shading and background biases.

Methodology:

Performs image correction using low-rank and sparse decomposition to separate signal from noise and mitigate spatial shading and temporal background variations.