title: Depth-variant deconvolution of 3D widefield fluorescence microscopy using the penalized maximum likelihood estimation method.
abstract: We investigated the deconvolution of 3D widefield fluorescence microscopy using the penalized maximum likelihood estimation method and the depth-variant point spread function (DV-PSF). We build the DV-PSF by fitting a parameterized theoretical PSF model to an experimental microbead image. On the basis of the constructed DV-PSF, we restore the 3D widefield microscopy by minimizing an objective function consisting of a negative Poisson likelihood function and a total variation regularization function. In simulations and experiments, the proposed method showed better performance than existing methods.
authors: Jeongtae
authors: J
authors: Kim
authors: Suhyeon
authors: S
authors: An
authors: Sohyun
authors: S
authors: Ahn
authors: Boyoung
authors: B
authors: Kim