Cell Membrane Tracking in Living Brain Tissue Using Differential Interference Contrast Microscopy
IEEE Transactions on Image Processing
This simulator allows us to better understand the image statistics (to improve algorithms), as well as quantitatively test cell segmentation and tracking algorithms in scenarios where ground truth data ...
in the OPL image using ℓ 1 -norm and total variation (TV) norm (i.e., ‖·‖ TV ) regularizers: (2) where β, γ are sparsity and smoothness parameters that control the weight of pixel sparsity and edge-sparsity ...
by ℓ 1 and TV (L1+TV)  , least-square regularized by ℓ 1 and Laplacian Tikhonov (L1+Tik)  , and least-square by regularized re-weighted ℓ 1 , weighted Laplacian Tikhonov, and weighted dynamic ...