Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy | |
Li, Dong2; Wang, Guangyu7; Werner, Rene2,6; Xie, Hong4,5; Guan, Ji-Song3,7; Hilgetag, Claus C.1,2,6 | |
刊名 | FRONTIERS IN NEUROINFORMATICS |
2022-01-05 | |
通讯作者邮箱 | d.li@uke.de (dong li ) |
卷号 | 15页码:10 |
关键词 | vignetting correction functional microscopic imaging neural activity image analysis imaging artifacts |
DOI | 10.3389/fninf.2021.674439 |
产权排序 | 6 |
文献子类 | 综述 |
英文摘要 | High-resolution functional 2-photon microscopy of neural activity is a cornerstone technique in current neuroscience, enabling, for instance, the image-based analysis of relations of the organization of local neuron populations and their temporal neural activity patterns. Interpreting local image intensity as a direct quantitative measure of neural activity presumes, however, a consistent within- and across-image relationship between the image intensity and neural activity, which may be subject to interference by illumination artifacts. In particular, the so-called vignetting artifact-the decrease of image intensity toward the edges of an image-is, at the moment, widely neglected in the context of functional microscopy analyses of neural activity, but potentially introduces a substantial center-periphery bias of derived functional measures. In the present report, we propose a straightforward protocol for single image-based vignetting correction. Using immediate-early gene-based 2-photon microscopic neural image data of the mouse brain, we show the necessity of correcting both image brightness and contrast to improve within- and across-image intensity consistency and demonstrate the plausibility of the resulting functional data. |
收录类别 | SCI |
资助项目 | German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) ; National Natural Science Foundation of China[DFG TRR-169/NSFC (61621136008)] ; National Natural Science Foundation of China[DFG SPP2041] ; National Natural Science Foundation of China[HBP/SGA2] ; National Natural Science Foundation of China[DFG SFB-936-A1] ; NSFC[31970903] ; Shanghai Ministry of Science and Technology[19ZR1477400] ; DFG[SFB-1328-A2] ; DFG[335447717] |
WOS关键词 | ILLUMINATION-CORRECTION ; CIRCUITS ; REVEALS |
WOS研究方向 | Mathematical & Computational Biology ; Neurosciences & Neurology |
出版者 | FRONTIERS MEDIA SA |
WOS记录号 | WOS:000745810400001 |
资助机构 | German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) ; National Natural Science Foundation of China ; NSFC ; Shanghai Ministry of Science and Technology ; DFG |
内容类型 | 期刊论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/41835] |
专题 | 心理研究所_认知与发展心理学研究室 |
通讯作者 | Li, Dong |
作者单位 | 1.Boston Univ, Dept Hlth Sci, Boston, MA 02215 USA 2.Univ Med Ctr Hamburg Eppendorf, Inst Computat Neurosci, Hamburg, Germany 3.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China 4.Univ Shanghai Sci & Technol, Sch Hlth Sci & Engn, Shanghai, Peoples R China 5.Univ Shanghai Sci & Technol, Inst Photon Chips, Shanghai, Peoples R China 6.Univ Med Ctr Hamburg Eppendorf, Ctr Biomed Artificial Intelligence bAIome, Hamburg, Germany 7.ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Dong,Wang, Guangyu,Werner, Rene,et al. Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy[J]. FRONTIERS IN NEUROINFORMATICS,2022,15:10. |
APA | Li, Dong,Wang, Guangyu,Werner, Rene,Xie, Hong,Guan, Ji-Song,&Hilgetag, Claus C..(2022).Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy.FRONTIERS IN NEUROINFORMATICS,15,10. |
MLA | Li, Dong,et al."Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy".FRONTIERS IN NEUROINFORMATICS 15(2022):10. |
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