Optimizing the Data Transmission Protocols for Remote Interactive Microscopy


The successful implementation of a telepathology system depends largely on the ability to provide a remote pathologist with high-quality image data appropriate for making a diagnosis. While it is largely agreed upon that such data are best obtained by allowing the telepathologist control of the remote light microscope, this places additional constraints on the type of image data required. To be an effective diagnostic tool, remote microscopy must be performed in real time. While high-resolution, uncompressed, true-color image data are desirable for detailed inspection, such images are generally very difficult to transmit in real time. Low-resolution image data can be transmitted in real time using various video compression techniques; however these data are unacceptable for image diagnosis, and are often difficult to integrate well with high-resolution image data. Furthermore, such systems often do not scale well to advances in technology. This thesis proposes the application of high-quality compressed still images with progressive image decompression techniques towards the task of remote interactive microscopy. A scalable prototype application for the timely delivery of remote image data within a high-speed network environment is developed using the Java language. The performance of this system is documented, with recommendations made for future improvements to the proposed system. Thesis Supervisor: C. Forbes Dewey Title: Professor, MIT Mechanical Engineering Department

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@inproceedings{Cavalaris2009OptimizingTD, title={Optimizing the Data Transmission Protocols for Remote Interactive Microscopy}, author={James George Cavalaris and Sune isor and James F. George}, year={2009} }