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OpenMSI, the most advanced web-available tool for analyzing and visualizing mass spectrometry instruments (MSI) data was one of seven Berkeley Lab winners of R&D100 awards announced last week.
Oliver Rübel of the Computational Research Division and Ben Bowen of the Environmental Genomics and Systems Biology Division led the development of OpenMSI with collaboration from NERSC.
MSI technology enables scientists to study tissues, cell cultures, and bacterial colonies in unprecedented detail at the molecular level. As the mass and spatial resolution of MS instruments increase, so do the number of pixels in MS images and data size. Nowadays, MSI datasets range from tens of gigabytes to several terabytes. Thus, basic tasks like opening a file or plotting spectra and ion images become insurmountable challenges.
OpenMSI overcomes these obstacles by making highly optimized computing technologies available via a user-friendly interface. Because OpenMSI leverages NERSC’s resources to process, analyze, store, and serve massive MSI datasets, users can now work on their data at full-resolution and in real-time without any special hardware or software. They can also access their data on any device with an internet connection. Learn more about OpenMSI.
About Computing Sciences at Berkeley Lab
High performance computing plays a critical role in scientific discovery. Researchers increasingly rely on advances in computer science, mathematics, computational science, data science, and large-scale computing and networking to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab’s Computing Sciences Area researches, develops, and deploys new foundations, tools, and technologies to meet these needs and to advance research across a broad range of scientific disciplines.