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Adam Pestana Motala, Christopher Peddie, Anne Weston, Luke Nightingale, Joost de Folter, Amy Strange, Helen Spiers, Lucy Collinson and Martin Jones (The Francis Crick Institute, 1 Midland Rd, Somers Town, London, NW1 1AT)
The developments in electron microscopy have allowed for the automatic imaging of samples in 3D. The images taken are extremely large in size due to the nanometre resolution, and this size ranges from the high gigabyte to even terabyte scale. These datasets are rich with information and through segmentation unprecedented amounts of segmented data are produced which contain the organelles of interest. These segmentations are then used to create meshes of these organelles, allowing for the complete visualisation of these subcellular structures in 3D using the free and open source software Blender. The goal is to then identify, through discussion with the biological research community, appropriate and desired shape analysis techniques that can be performed on a given set of data. This will consist of existing and custom tools created from Python scripts. This is an important workflow as new comparisons can be made between healthy and diseased cells allowing for the potential identification of the causes of diseases as well as the impact these diseases have on subcellular structures.https://www.crick.ac.uk/research/platforms-and-facilities/electron-microscopy