Abstract
Fluorescence imaging is often used to monitor dynamic cellular functions under conditions of very low light intensities to avoid photodamage to the cell and rapid photobleaching. Determination of the time of a fluorescence change relative to a rapid high time-resolution event, such as an action potential or pulse stimulation, is challenged by the low photon rate and the need to use imaging frame durations that limit the time resolution. To overcome these limitations, we developed a time superresolution method named event correlation microscopy that aligns repetitive events with respect to the high time-resolution events. We describe the algorithm of the method, its step response function, and a theoretical, computational, and experimental analysis of its precision, providing guidelines for camera exposure time settings depending on imaging signal properties and camera parameters for optimal time resolution. We also demonstrate the utility of the method to recover rapid nonstepwise kinetics by deconvolution fits. The event correlation microscopy method provides time superresolution beyond the photon rate limit and imaging frame duration with well-defined precision.