Abstract:We explore the graph Laplacian eigenmap for the application of three-dimensional (3D) optical bioimaging. By using the density invariant graph Laplacian, each high-dimensional sampling (e.g. an image) could be represented by a lowdimensional description. These descriptions not only preserve key features of raw images but also estimate unobservable parameters for 3D imaging. In this paper, we apply this method for two 3D optical microscopies under following scenarios: (i) 3D optical tomography with projections … Show more
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