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Getting poster data...
Kimberly Meechan, Constantin Pape, Valentyna Zinchenko, Martin Schorb, Hernando M. Vergara, Detlev Arendt, Anna Kreshuk, Yannick Schwab, Christian Tischer (EMBL, Heidelberg, Germany; Heidelberg Collaboratory for Image Processing, Ruprecht Karls Universitat Heidelberg, Germany; Sainsbury Wellcome Centre for Neural Circuits and Behaviour, London, UK)
As microscope technology improves, it is becoming more and more common to generate massive datasets of many terabytes in size. These become unwieldy to visualise, and even harder to share with others, requiring the download of massive amounts of raw data. With this in mind, it is increasingly important to find ways to explore large data that is stored remotely. MoBIE is a free, open-source Fiji plugin that allows exploration of images from remote s3 object stores -https://github.com/mobie/mobie. It uses chunked, pyramidal file formats (like n5) and BigDataViewer to allow browsing of terabyte sized data on a standard laptop. In addition, it has extensive support for multi-modal data allowing e.g. 2D images, 3D images, and segmentations of different sizes and resolutions to be explored together in the same coordinate system. It also encourages a tight link between images and measurements derived from them, with support for interactive tables and plots. MoBIE is a general tool for any image data – and has already been used for various projects including e.g. an atlas of the marine worm Platynereis, and visualisation of coronavirus infected cells (see references in the poster)