Fluorescence lifetime imaging microscopy(FLIM)is increasingly used in biomedicine,material science,chemistry,and other related research fields,because of its advantages of high specificity and sensitivity in monitorin...Fluorescence lifetime imaging microscopy(FLIM)is increasingly used in biomedicine,material science,chemistry,and other related research fields,because of its advantages of high specificity and sensitivity in monitoring cellular microenvironments,studying interaction between proteins,metabolic state,screening drugs and analyzing their efficacy,characterizing novel materials,and diagnosing early cancers.Understandably,there is a large interest in obtaining FLIM data within an acquisition time as short as possible.Consequently,there is currently a technology that advances towards faster and faster FLIM recording.However,the maximum speed of a recording technique is only part of the problerm.The acquisition time of a FLIM image is a complex function of many factors.These include the photon rate that can be obtained from the sample,the amount of information a technique extracts from the decay functions,the fficiency at which it determines fluorescence decay parameters from the recorded photons,the demands for the accuracy of these parameters,the number of pixels,and the lateral and axial resolutions that are obtained in biological materials.Starting from a discussion of the parameters which determine the acquisition time,this review will describe existing and emerging FLIM techniques and data analysis algo-rithms,and analyze their performance and recording speed in biological and biomedical applications.展开更多
In this paper according to the results of DCT spectrum disfribution analysis. we propose an adaptivenormal image coding scheme and image pre treatment, which use multi-scale adaptive sub-blocks in h-order anddecompose...In this paper according to the results of DCT spectrum disfribution analysis. we propose an adaptivenormal image coding scheme and image pre treatment, which use multi-scale adaptive sub-blocks in h-order anddecompose direct current component Dc into both components. Redundancy in one of both components can beremoved by multi-direction in h-order, the other component can be quantified finitely in loss. with less influence onthe quality of the reconstructed image. A new method combining quart-tree and template matching is used to extractnon-zero data from the coefficient matrix,the ideal result has been achieved from the coding scheme. The newscheme is called ANQS (adaptive normal quantification scheme ). Experiments prove that ANQS is much betterthan JPEG in the same image. With ANQS excellent quality of reconstruction is obtained at data rate as low as 0.0625 bpp and their PSNR as high as 30.31 dB, respectively but JPEG method is only obtained at data rate: 0.180 bppand PSNR: 32. 19 dB.展开更多
基金support from the National Key R&D Program of China(2017YFA0700500)National Natural Science Foundation of China(61775144/61525503/61620106016/61835009/81727804)+2 种基金(Key)Project of Department of Education of Guangdong Province(2015KGJHZ002/2016KCXTD007)Guangdong Natural Science Foundation(2014A030312008,2017A030310132,2018A030313362)Shenzhen Basic Research Project(JCYJ20170818144012025/JCYJ20170818141701667/JCYJ20170412105003520/JCYJ20150930104948169).
文摘Fluorescence lifetime imaging microscopy(FLIM)is increasingly used in biomedicine,material science,chemistry,and other related research fields,because of its advantages of high specificity and sensitivity in monitoring cellular microenvironments,studying interaction between proteins,metabolic state,screening drugs and analyzing their efficacy,characterizing novel materials,and diagnosing early cancers.Understandably,there is a large interest in obtaining FLIM data within an acquisition time as short as possible.Consequently,there is currently a technology that advances towards faster and faster FLIM recording.However,the maximum speed of a recording technique is only part of the problerm.The acquisition time of a FLIM image is a complex function of many factors.These include the photon rate that can be obtained from the sample,the amount of information a technique extracts from the decay functions,the fficiency at which it determines fluorescence decay parameters from the recorded photons,the demands for the accuracy of these parameters,the number of pixels,and the lateral and axial resolutions that are obtained in biological materials.Starting from a discussion of the parameters which determine the acquisition time,this review will describe existing and emerging FLIM techniques and data analysis algo-rithms,and analyze their performance and recording speed in biological and biomedical applications.
文摘In this paper according to the results of DCT spectrum disfribution analysis. we propose an adaptivenormal image coding scheme and image pre treatment, which use multi-scale adaptive sub-blocks in h-order anddecompose direct current component Dc into both components. Redundancy in one of both components can beremoved by multi-direction in h-order, the other component can be quantified finitely in loss. with less influence onthe quality of the reconstructed image. A new method combining quart-tree and template matching is used to extractnon-zero data from the coefficient matrix,the ideal result has been achieved from the coding scheme. The newscheme is called ANQS (adaptive normal quantification scheme ). Experiments prove that ANQS is much betterthan JPEG in the same image. With ANQS excellent quality of reconstruction is obtained at data rate as low as 0.0625 bpp and their PSNR as high as 30.31 dB, respectively but JPEG method is only obtained at data rate: 0.180 bppand PSNR: 32. 19 dB.
