Resolution enhancement with deblurring by pixel reassignment

作     者：Bingying Zhao Jerome Mertz Bingying Zhao;Jerome Mertz

作者机构：Boston UniversityDepartment of Electrical and Computer EngineeringBostonMassachusettsUnited States Boston UniversityDepartment of Biomedical EngineeringBostonMassachusettsUnited States 

出 版 物：《Advanced Photonics》 (先进光子学（英文）)

年 卷 期：2023年第5卷第6期

页      面：59-71页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0803[工学-光学工程] 

基　　金：funded by the National Science Foundation(EEC-1647837,2215990) the National Institutes of Health(R01EB029171,R01NS116139) 

主　　题：image deblurring microscopy bio-imaging image reconstruction optical resolution 

摘      要：Improving the spatial resolution of a fluorescence microscope has been an ongoing challenge in the imaging *** address this challenge,a variety of approaches have been taken,ranging from instrumentation development to image *** example of the latter is deconvolution,where images are numerically deblurred based on a knowledge of the microscope point spread ***,deconvolution can easily lead to noise-amplification *** by postprocessing can also lead to negativities or fail to conserve local linearity between sample and *** describe here a simple image deblurring algorithm based on pixel reassignment that inherently avoids such artifacts and can be applied to general microscope modalities and fluorophore *** algorithm helps distinguish nearby fluorophores,even when these are separated by distances smaller than the conventional resolution limit,helping facilitate,for example,the application of single-molecule localization microscopy in dense *** demonstrate the versatility and performance of our algorithm under a variety of imaging conditions.