flimview

flimview processes and analyzes Fluorescence-Lifetime Imaging Microscopy (FLIM) images to support visualization, preprocessing, fluorescence decay fitting, metadata preservation, and lossless storage of fluorescence lifetime data.

Key Features:

• Data Compatibility: Reads standard FLIM data file formats, including sdt and ptu files.
• Data Processing: Converts raw FLIM images into binned and fitted formats for downstream analysis.
• Binning Kernels: Supports customized kernels to perform tailored spatial or temporal binning.
• Masking Operations: Applies user-defined masking to include or exclude regions of interest during preprocessing.
• Fluorescence Decay Fitting: Supports customized fluorescence decay fitting functions to model fluorescence lifetimes.
• Metadata Management: Preserves all metadata generated during analysis to ensure provenance and reproducibility.
• Data Storage: Stores analysis outcomes in a lossless compressed format.
• Visualization: Generates visual representations of processed and fitted fluorescence lifetime data.
• Implementation: Implemented in Python.

Scientific Applications:

• Cellular process investigation: Investigating cellular processes at the molecular level using FLIM-derived lifetime contrasts.
• Protein interaction and dynamics: Studying protein interactions and dynamics in live cells via fluorescence lifetime changes.
• Tissue analysis and diagnostics: Analyzing tissue samples for diagnostic purposes using FLIM lifetime metrics.

Methodology:

Data importation: reading standard FLIM data formats (sdt, ptu); preprocessing: applying user-defined binning kernels and masking operations; analysis: fitting fluorescence decay curves using customized decay functions to model lifetimes; visualization: generating visual representations of processed and fitted lifetime maps.