A Statistical Model for Multiphoton Calcium Imaging of the Brain
Multiphoton calcium fluorescence imaging has gained prominence as a valuable tool for the study of brain cells, but the corresponding analytical regimes remain rather naive. In this paper, we develop a statistical framework that facilitates principled quantitative analysis of multiphoton images. The...
| Główni autorzy: | , , , |
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| Kolejni autorzy: | |
| Format: | Artykuł |
| Język: | en_US |
| Wydane: |
Institute of Electrical and Electronics Engineers
2010
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| Dostęp online: | http://hdl.handle.net/1721.1/54712 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0003-2442-5671 https://orcid.org/0000-0002-7260-7560 |
| _version_ | 1826206676970110976 |
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| author | Brown, Emery N. Sur, Mriganka Schummers, James Malik, Wasim Qamar |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Brown, Emery N. Sur, Mriganka Schummers, James Malik, Wasim Qamar |
| author_sort | Brown, Emery N. |
| collection | MIT |
| description | Multiphoton calcium fluorescence imaging has gained prominence as a valuable tool for the study of brain cells, but the corresponding analytical regimes remain rather naive. In this paper, we develop a statistical framework that facilitates principled quantitative analysis of multiphoton images. The proposed methods discriminate the stimulus-evoked response of a neuron from the background firing and image artifacts. We develop a harmonic regression model with colored noise, and estimate the model parameters with computationally efficient algorithms. We apply this model to in vivo characterization of cells from the ferret visual cortex. The results demonstrate substantially improved tuning curve fitting and image contrast. |
| first_indexed | 2024-09-23T13:36:50Z |
| format | Article |
| id | mit-1721.1/54712 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:36:50Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/547122022-09-28T15:01:28Z A Statistical Model for Multiphoton Calcium Imaging of the Brain Brown, Emery N. Sur, Mriganka Schummers, James Malik, Wasim Qamar Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Picower Institute for Learning and Memory Sur, Mriganka Brown, Emery N. Sur, Mriganka Schummers, James Malik, Wasim Qamar Multiphoton calcium fluorescence imaging has gained prominence as a valuable tool for the study of brain cells, but the corresponding analytical regimes remain rather naive. In this paper, we develop a statistical framework that facilitates principled quantitative analysis of multiphoton images. The proposed methods discriminate the stimulus-evoked response of a neuron from the background firing and image artifacts. We develop a harmonic regression model with colored noise, and estimate the model parameters with computationally efficient algorithms. We apply this model to in vivo characterization of cells from the ferret visual cortex. The results demonstrate substantially improved tuning curve fitting and image contrast. United States. National Institutes of Health (Grants DP1 OD003646 and EY07023) 2010-05-05T15:31:59Z 2010-05-05T15:31:59Z 2009-11 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-3296-7 1557-170X http://hdl.handle.net/1721.1/54712 Malik, W.Q. et al. “A statistical model for multiphoton calcium imaging of the brain.” Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE. 2009. 7002-7005. © 2009 IEEE https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0003-2442-5671 https://orcid.org/0000-0002-7260-7560 en_US http://dx.doi.org/10.1109/IEMBS.2009.5333848 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009. Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Brown, Emery N. Sur, Mriganka Schummers, James Malik, Wasim Qamar A Statistical Model for Multiphoton Calcium Imaging of the Brain |
| title | A Statistical Model for Multiphoton Calcium Imaging of the Brain |
| title_full | A Statistical Model for Multiphoton Calcium Imaging of the Brain |
| title_fullStr | A Statistical Model for Multiphoton Calcium Imaging of the Brain |
| title_full_unstemmed | A Statistical Model for Multiphoton Calcium Imaging of the Brain |
| title_short | A Statistical Model for Multiphoton Calcium Imaging of the Brain |
| title_sort | statistical model for multiphoton calcium imaging of the brain |
| url | http://hdl.handle.net/1721.1/54712 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0003-2442-5671 https://orcid.org/0000-0002-7260-7560 |
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