Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving Mice
Two-photon Ca2+ imaging is a widely used technique for investigating brain functions across multiple spatial scales. However, the recording of neuronal activities is affected by movement of the brain during tasks in which the animal is behaving normally. Although post-hoc image registration is the c...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Neuroinformatics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fninf.2022.851188/full |
| _version_ | 1828401366432743424 |
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| author | Weiyi Liu Junxia Pan Yuanxu Xu Meng Wang Hongbo Jia Hongbo Jia Kuan Zhang Xiaowei Chen Xingyi Li Xiang Liao |
| author_facet | Weiyi Liu Junxia Pan Yuanxu Xu Meng Wang Hongbo Jia Hongbo Jia Kuan Zhang Xiaowei Chen Xingyi Li Xiang Liao |
| author_sort | Weiyi Liu |
| collection | DOAJ |
| description | Two-photon Ca2+ imaging is a widely used technique for investigating brain functions across multiple spatial scales. However, the recording of neuronal activities is affected by movement of the brain during tasks in which the animal is behaving normally. Although post-hoc image registration is the commonly used approach, the recent developments of online neuroscience experiments require real-time image processing with efficient motion correction performance, posing new challenges in neuroinformatics. We propose a fast and accurate image density feature-based motion correction method to address the problem of imaging animal during behaviors. This method is implemented by first robustly estimating and clustering the density features from two-photon images. Then, it takes advantage of the temporal correlation in imaging data to update features of consecutive imaging frames with efficient calculations. Thus, motion artifacts can be quickly and accurately corrected by matching the features and obtaining the transformation parameters for the raw images. Based on this efficient motion correction strategy, our algorithm yields promising computational efficiency on imaging datasets with scales ranging from dendritic spines to neuronal populations. Furthermore, we show that the proposed motion correction method outperforms other methods by evaluating not only computational speed but also the quality of the correction performance. Specifically, we provide a powerful tool to perform motion correction for two-photon Ca2+ imaging data, which may facilitate online imaging experiments in the future. |
| first_indexed | 2024-12-10T09:46:17Z |
| format | Article |
| id | doaj.art-88a3f7d482c44b12b9947f9d4492b711 |
| institution | Directory Open Access Journal |
| issn | 1662-5196 |
| language | English |
| last_indexed | 2024-12-10T09:46:17Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroinformatics |
| spelling | doaj.art-88a3f7d482c44b12b9947f9d4492b7112022-12-22T01:53:50ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962022-04-011610.3389/fninf.2022.851188851188Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving MiceWeiyi Liu0Junxia Pan1Yuanxu Xu2Meng Wang3Hongbo Jia4Hongbo Jia5Kuan Zhang6Xiaowei Chen7Xingyi Li8Xiang Liao9Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, ChinaBrain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, ChinaBrain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, ChinaCenter for Neurointelligence, School of Medicine, Chongqing University, Chongqing, ChinaAdvanced Institute for Brain and Intelligence, Guangxi University, Nanning, ChinaBrain Research Instrument Innovation Center, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, ChinaBrain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, ChinaBrain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, ChinaCenter for Neurointelligence, School of Medicine, Chongqing University, Chongqing, ChinaCenter for Neurointelligence, School of Medicine, Chongqing University, Chongqing, ChinaTwo-photon Ca2+ imaging is a widely used technique for investigating brain functions across multiple spatial scales. However, the recording of neuronal activities is affected by movement of the brain during tasks in which the animal is behaving normally. Although post-hoc image registration is the commonly used approach, the recent developments of online neuroscience experiments require real-time image processing with efficient motion correction performance, posing new challenges in neuroinformatics. We propose a fast and accurate image density feature-based motion correction method to address the problem of imaging animal during behaviors. This method is implemented by first robustly estimating and clustering the density features from two-photon images. Then, it takes advantage of the temporal correlation in imaging data to update features of consecutive imaging frames with efficient calculations. Thus, motion artifacts can be quickly and accurately corrected by matching the features and obtaining the transformation parameters for the raw images. Based on this efficient motion correction strategy, our algorithm yields promising computational efficiency on imaging datasets with scales ranging from dendritic spines to neuronal populations. Furthermore, we show that the proposed motion correction method outperforms other methods by evaluating not only computational speed but also the quality of the correction performance. Specifically, we provide a powerful tool to perform motion correction for two-photon Ca2+ imaging data, which may facilitate online imaging experiments in the future.https://www.frontiersin.org/articles/10.3389/fninf.2022.851188/fulltwo-photon Ca2+ imagingmotion correctionbehaving miceimage density featureimage registrationonline experiment |
| spellingShingle | Weiyi Liu Junxia Pan Yuanxu Xu Meng Wang Hongbo Jia Hongbo Jia Kuan Zhang Xiaowei Chen Xingyi Li Xiang Liao Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving Mice Frontiers in Neuroinformatics two-photon Ca2+ imaging motion correction behaving mice image density feature image registration online experiment |
| title | Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving Mice |
| title_full | Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving Mice |
| title_fullStr | Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving Mice |
| title_full_unstemmed | Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving Mice |
| title_short | Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving Mice |
| title_sort | fast and accurate motion correction for two photon ca2 imaging in behaving mice |
| topic | two-photon Ca2+ imaging motion correction behaving mice image density feature image registration online experiment |
| url | https://www.frontiersin.org/articles/10.3389/fninf.2022.851188/full |
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