Image-based Artefact Removal in Laser Scanning Microscopy
Advances in laser scanning microscopy (LSM) have greatly extended its applicability in cancer imaging not only to observe dynamic biological processes, but also to quantitatively measure them. The fast acquisition with increased spatial resolution and field of view enables scanning of larger areas of the specimen. However in practice, image quality is compromised by the motion of specimen and the motion of the microscope laser. In this paper, we present a framework for efficient removal of jaggedness artefacts caused by the varying speeds of the laser. Our framework compensates for the local displacements and reduces the level of noise, demonstrating substantial improvement over other state-of-the-art acquisition methods.