frcoloc

frcoloc identifies colocalization between fluorescence and Raman microscopic images to enable integrated analysis of molecular-specific fluorescence signals and Raman-derived chemical information from the same sample.

Key Features:

• Algorithmic Approach: Employs algorithms to detect colocalization between fluorescence and Raman images, including precise alignment and identification of overlapping regions.
• Data Integration: Integrates fluorescence microscopy (molecular probes) and Raman spectroscopy (chemical information) to provide complementary multimodal data from the same sample.

Scientific Applications:

• Enhanced Data Collection: Produces high-quality colocalized regions for training data sets used in machine learning applications.
• Multimodal Analysis: Enables combined analysis of cellular structures and molecular interactions for studies in cell biology, pathology, and pharmacology.

Methodology:

Performs precise alignment of fluorescence and Raman images and applies algorithms designed to handle inherent differences between the imaging modalities to detect colocalization, supporting downstream quantitative analysis and hypothesis testing.