Bleach correction ImageJ plugin for compensating the photobleaching of time-lapse sequences

Area of Science:

• Life Sciences Imaging
• Microscopy
• Biotechnology

Background:

• Photobleaching, a decrease in fluorescence intensity, is a significant challenge in time-lapse imaging of fluorescently labeled samples.
• While imaging setup adjustments can mitigate photobleaching, they often provide only partial correction.
• Uncorrected photobleaching hinders precise structure segmentation and accurate quantification of intensity dynamics.

Purpose of the Study:

• To develop and present an ImageJ plugin for correcting photobleaching in fluorescence image sequences.
• To offer users a tool to compensate for intensity loss and estimate non-bleaching conditions.
• To evaluate and compare three distinct photobleaching correction algorithms: simple ratio, exponential fitting, and histogram matching.

Main Methods:

• Implementation of an ImageJ plugin incorporating three photobleaching correction algorithms.
• Application of simple ratio, exponential fitting, and a novel histogram matching method.
• Testing and analysis of algorithm performance on actual time-lapse fluorescence image sequences.

Main Results:

• The developed ImageJ plugin effectively compensates for photobleaching across different algorithms.
• The histogram matching method is presented as a novel approach for photobleaching correction.
• Performance characteristics of each algorithm are detailed based on experimental data.

Conclusions:

• The ImageJ plugin provides a valuable tool for researchers dealing with photobleaching in fluorescence microscopy.
• Accurate photobleaching correction is crucial for reliable quantitative analysis and segmentation in life science imaging.
• The novel histogram matching algorithm offers a promising alternative for robust photobleaching compensation.