Optical microscopy imaging techniques have been found widespread applications in medicine because of its capability of identifying anatomic features of pathological tissue. For the purpose of diagnostic, the image should be obtained in a form of wide-view with ultra-high resolution which provide quantitative information about the tissue. However, due to the limitation of acquired pixel size and field of view in imaging camera, an overview of biological specimens may not be acquired directly using current devices. In this contribution, an automated imaging system of wide-view of optical microscopy of pathological tissue was presented. Our research also involves seeking the fast stitching algorithm to form a panorama of the whole pathological tissue. Digital pathological images were obtained using our new microscope system and these images were scanned in blocks. During image acquisition, overlapping regions were appeared between neighboring block images to avoid missing border details. The whole images acquired were then reconstructed as a panorama of the whole sample with our improved fast stitching methods. The feasibility and performance of our proposed method was compared with classical methods and modern keypoint detectors to validated in processing clinical pathological images and proved to be high efficient and accurate.