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您的检索式：作者名="DONGZHOU GOU"
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| 1 | 3D Hessian deconvolution of thick light-sheet z-stacks for high-contrast and high-SNR volumetric imaging显示文摘Due to its ability of optical sectioning and low phototoxicity,z-stacking light-sheet microscopy has been the tool of choice for in vivo imaging of the zebrafish brain.To image the zebrafish brain with a large field of view,the thickness of the Gaussian beam inevitably becomes several times greater than the system depth of field(DOF),where the fluorescence distributions outside the DOF will also be collected,blurring the image.In this paper,we propose a 3D deblurring method,aiming to redistribute the measured intensity of each pixel in a light-sheet image to in situ voxels by 3D deconvolution.By introducing a Hessian regularization term to maintain the continuity of the neuron dis-tribution and using a modified stripe removal algorithm,the reconstructed z stack images exhibit high contrast and a high signal-to-noise ratio.These performance characteristics can facilitate subsequent processing,such as 3D neuron registration,segmentation,and recognition. | ZHE ZHANG DONGZHOU GOU FAN FENG RUYI ZHENG KE DU HONGRUN YANG GUANGYI ZHANG HUITAO ZHANG LOUIS TAO LIANGYI CHEN HENG MAO | 2020 | Photonics Research2020，8，6： | 1 |
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