Jitter reduction using native fiducials in rotating mirror ultra-fast microphotography.

ABSTRACT

Rotating mirror cameras represent a workhorse technology for high speed imaging in the MHz framing regime. The technique requires that the target image be swept across a series of juxtaposed CCD sensors, via reflection from a rapidly rotating mirror. Employing multiple sensors in this fashion can lead to spatial jitter in the resultant video file, due to component misalignments along the individual optical paths to each CCD. Here, we highlight that static and dynamic fiducials can be exploited as an effective software-borne countermeasure to jitter, suppressing the standard deviation of the corrected file relative to the raw data by up to 88.5% maximally, and 66.5% on average over the available range of framing rates. Direct comparison with industry-standard algorithms demonstrated that our fiducial-based strategy is as effective at jitter reduction, but typically also leads to an aesthetically superior final form in the post-processed video files.