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Development and integration of mechatronics systems in biomedical microscopy

Chousos Christos

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Summary

Microscopy has a critical role in both life, science, research and routine diagnosis. Microscopy has a long history of evolution with the toady's contemporary systems offering a series of advanced digital imaging modalities towards the improved visualization of features of diagnostic importance. However, examining tissue samples in numerous slices of cm2 size each at micron magnification level, requires enormous examination time that is clinically unrealistic. Due to this fact, examinations are performed on randomly selected representative tissue areas. This makes this life critical diagnostic procedure error prone and subjective, often resulting to high inter- and intra- observer disagreements. The advancement of mechatronics technologies in conjugation with the development of fast-multichannel imaging sensors and ultra-fast computational platforms, offer today unique possibilities for automated whole slide scanning and for improving diagnostic performance through Artificial Intelligence - Machine Learning methods. This thesis deals with the development of an integrated multimodal high content screening microscope offering also, improved spatial feature resolution power, approaching the performance of very expensive and delicate Confocal Microscopes. System Design schematics, Hardware Implementation, Systems Drivers and GUI are presented and discussed together with preliminary technical and clinical validation.

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