A non-invasive self-measurement method for analyzing vibrations within a biological imaging system is
presented. This method utilizes the system's imaging sensor, digital image processing and a custom dot
matrix calibration target for in-situ vibration measurements. By taking a series of images of the target
within a fixed field of view and time interval, averaging the dot profiles in each image, the in-plane
coherent spacing of each dot can be identified in both the horizontal and vertical directions. The incoherent
movement in the pattern spacing caused by vibration is then resolved from each image. Accounting for the
CMOS imager rolling shutter, vibrations are then measured with different sampling times for intra-frame
and inter-frame, the former provides the frame time and the later the image sampling time. The power
spectrum density (PSD) analysis is then performed using both measurements to provide the incoherent
system displacements and identify potential vibration sources. The PSD plots provide descriptive statistics
of the displacement distribution due to random vibration contents. This approach has been successful in
identifying vibration sources and measuring vibration geometric moments in imaging systems.
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