Image analysis for denoising full-field frequency-domain fluorescence lifetime images

Area of Science:

• Microscopy
• Biophysics
• Image Analysis

Background:

• Fluorescence lifetime-resolved imaging microscopy (FLIM) provides quantitative data beyond intensity, sensitive to fluorophore microenvironments.
• Homodyne FLIM enables video-rate imaging but is limited by noise from image-intensified CCD detectors.
• Noise reduction is crucial for improving FLIM data fidelity and analysis.

Purpose of the Study:

• Introduce a novel image analysis routine for denoising homodyne FLIM data.
• Enhance the accuracy and sensitivity of fluorescence lifetime measurements.
• Preserve and improve the spatial resolution of FLIM images.

Main Methods:

• Developed a fast image analysis algorithm specifically for denoising homodyne FLIM data.
• Applied the denoising routine to reduce noise from photon statistics and intensifier amplification.
• Utilized polar plot projection for rapid analysis and demonstration of denoising effectiveness.

Main Results:

• The denoising routine significantly improves the extraction of fluorescence lifetime values.
• Enhanced sensitivity and fluorescence lifetime resolving power of the FLIM instrument were achieved.
• Spatial resolution, particularly high spatial frequencies, was preserved and fidelity improved.

Conclusions:

• The developed image analysis effectively denoises homodyne FLIM data, improving quantitative measurements.
• This method enhances FLIM performance without compromising spatial resolution, benefiting biological imaging.
• The denoising approach has potential applications in other fluorescence microscopy techniques, including super-resolution imaging.