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A post-recording pixel-reconstruction approach for correcting the lateral drifts in surface plasmon resonance microscope.

Surface plasmon resonance microscope (SPRM) sample stage inevitably suffered from lateral drifts as a result of many environmental factors including thermal fluctuation, mechanical vibration and relaxation. It placed great obstacles to time-lapsed imaging and measurements that need high spatial resolution or long recording time. Existing solutions often required experimental efforts such as the addition of optical markers together with piezoelectric stage-based active feedback configurations. Herein, we proposed an all-digital, post-recording image processing method to remove the lateral drift in a series of time-lapsed SPRM images. The method firstly calculated the value of lateral drift at sub-pixel accuracy by combining image cross-correlation analysis and super-localization strategy. It subsequently reconstructed the drift-free image sequences in a pixel-by-pixel and frame-by-frame manner, according to the linear decomposition and reconstruction principle. This method purely relied on image processing, and it does not require any experimental efforts and hardwares. In addition to SPRM, we further demonstrated the applicability of the present method in other types of optical imaging techniques including bright-field transmission microscope and dark-field scattering microscope.