13Computational tomography is more and more widely used in many fields for its non-14 destructive and high-resolution in detecting internal structures of the samples. 3D 15 segmentation of computed tomography data, which sheds light into internal features 16 of target objects, is increasingly gaining in importance. However, how to efficiently 17 and precisely reconstruct computed tomography data and better represent the data 18 remains a hassle. Here, using a set of scan data of a fossil fish as a case study, we 19 present a new release of open-source volume exploration, rendering, and 3D 20 segmentation software, Drishti v2.6.6, and its protocol for performing 3D 21 segmentation and other advanced applications. We provide new toolsets and 22 workflow to segment computed tomography data thus benefit the scientific 23 community with more accurate and precise digital reconstruction, 3D modelling and 24 3D printing results. Our procedure is widely applicable not only in palaeontology, but 25 also in biological, medical, and industrial researches, and can be used as a framework 26 to segment computed tomography and other forms of volumetric data from any 27 research field. 28
Keywords3D Segmentation, Drishti Paint, computed tomography data, 29 volumetric data 30 31