Riordan-Nilanth Gravitational Resonance Imager

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The Riordan-Nilanth Gravitational Resonance Imager, or RNGRI, is a medical scanning device created by Saede Riordan and Fraxi Nilanth in the autumn of YC115. Citing the 'utter stupidity of needing to kill someone in order to make a copy of them' the project began using adaptive software within a traditional Magnetic Resonance Imager. The pair initially took a dataset containing thousands of transneural burning scanner images, constituting exabytes of data on the positions of individual molecules

Nilanth then wrote an adaptive software program to identify molecular positions from the slightly lower resolution but completely harmless MRI scans. The software would then construct an accurate enough map of the brain to be used in a re-lifing procedure. However, problems with this method soon became apparent. The software would often require the MRI machine to go back over and check the same brain area several dozen times during the image generation process, and inefficiencies in the scanning mechanisms and software caused the process to originally take up to a week to complete. While Nilanth did personally test out this method, sitting within the MRI machine for an amazing twelve days, it was ultimately decided by the pair that this method would not be viable for large scale implementation.

Over the course of the next winter, the research team perfected the software, but still ran into major issues with the speed and accuracy of the hardware. To that end a modified imager was built that used more advanced gravitational resonance scanning. Gravitational Resonance Imaging had been used within sensor suites for decades, but it had never been applied to a medical field. The RNGRI was finished in the spring of YC116, and combined with their software, allowed widespread backups to be made of the majority of the people of Origin.

The pair has expressed interest in marketing the device in New Eden, but aside from a few demonstration models sold to various cloning companies, it has yet to see widespread access or acceptance.