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This paper presents two major contributions to the field of digital rendering of neuronal structures. First, we introduce an accelerated volume rendering technique that adeptly manages the occlusion relationships between objects and their representations in images. Second, we detail the implementation of a neuron rendering approach utilizing Signed Distance Fields (SDF) informed by quadratic Bezier curves and ray marching. These advancements collectively offer a significant leap in rendering efficiency and accuracy, enabling more detailed and realistic visualization of complex neuronal morphologies.
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Chen et al. (2024) studied this question.
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