FRET-IBRA

FRET-IBRA processes fluorescence resonance energy transfer (FRET) intensity data into registered, unified ratiometric image stacks for quantitative analysis of molecular interactions and dynamics.

Key Features:

• Modular architecture: A configuration-file-driven design that supports parameter tailoring and handling of discontinuous image frame sequences.
• Parallelized processing: Fully parallelized implementation optimized for fast runtime and large image-stack processing with independent per-frame handling.
• Cluster-based channel background subtraction: Incorporates cluster-based channel background subtraction and enhanced background-subtraction algorithms specifically for FRET images.
• Photobleaching correction: Implements photobleaching correction for time-series FRET intensity data.
• Ratio image construction and registration: Constructs registered ratiometric images and produces unified ratio image stacks.
• Per-frame performance measures: Computes performance metrics to assess background-subtraction quality and potential failures on a per-frame basis.
• Input/output formats: Accepts multiple input formats and exports TIFF image stacks.

Scientific Applications:

• Calcium imaging in pollen tubes: Quantification of the spatial distribution of calcium ions during pollen tube growth under mechanical constraints using ratiometric FRET data.
• Quantitative FRET microscopy: Extraction of fluorescence signals sensitive to molecular conformations and interactions from FRET intensity image sequences.

Methodology:

Fully parallelized, configuration-file-driven processing that performs cluster-based channel background subtraction with enhanced algorithms, photobleaching correction, channel registration, ratio image construction into unified TIFF stacks, and per-frame performance assessment while supporting discontinuous frame sequences.