Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging
Real-time neuron detection and neural activity extraction are critical components of real-time neural decoding. In this paper, we propose a novel real-time neuron detection and activity extraction system using a dataflow framework to provide real-time performance and adaptability to new algorithms a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-06-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fncom.2020.00043/full |
| _version_ | 1819229835533221888 |
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| author | Yaesop Lee Jing Xie Eungjoo Lee Srijesh Sudarsanan Da-Ting Lin Rong Chen Rong Chen Shuvra S. Bhattacharyya Shuvra S. Bhattacharyya |
| author_facet | Yaesop Lee Jing Xie Eungjoo Lee Srijesh Sudarsanan Da-Ting Lin Rong Chen Rong Chen Shuvra S. Bhattacharyya Shuvra S. Bhattacharyya |
| author_sort | Yaesop Lee |
| collection | DOAJ |
| description | Real-time neuron detection and neural activity extraction are critical components of real-time neural decoding. In this paper, we propose a novel real-time neuron detection and activity extraction system using a dataflow framework to provide real-time performance and adaptability to new algorithms and hardware platforms. The proposed system was evaluated on simulated calcium imaging data, calcium imaging data with manual annotation, and calcium imaging data of the anterior lateral motor cortex. We found that the proposed system accurately detected neurons and extracted neural activities in real time without any requirement for expensive, cumbersome, or special-purpose computing hardware. We expect that the system will enable cost-effective, real-time calcium imaging-based neural decoding, leading to precise neuromodulation. |
| first_indexed | 2024-12-23T11:19:29Z |
| format | Article |
| id | doaj.art-85504a4bba974e489f0532cb3632de74 |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-12-23T11:19:29Z |
| publishDate | 2020-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-85504a4bba974e489f0532cb3632de742022-12-21T17:49:07ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882020-06-011410.3389/fncom.2020.00043453485Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium ImagingYaesop Lee0Jing Xie1Eungjoo Lee2Srijesh Sudarsanan3Da-Ting Lin4Rong Chen5Rong Chen6Shuvra S. Bhattacharyya7Shuvra S. Bhattacharyya8Department of Electrical and Computer Engineering, University of Maryland at College Park, College Park, MD, United StatesDepartment of Electrical and Computer Engineering, University of Maryland at College Park, College Park, MD, United StatesDepartment of Electrical and Computer Engineering, University of Maryland at College Park, College Park, MD, United StatesDepartment of Electrical and Computer Engineering, University of Maryland at College Park, College Park, MD, United StatesNational Institute on Drug Abuse, National Institutes of Health (NIH), Baltimore, MD, United StatesDepartment of Electrical and Computer Engineering, University of Maryland at College Park, College Park, MD, United StatesDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland at Baltimore, Baltimore, MD, United StatesDepartment of Electrical and Computer Engineering, University of Maryland at College Park, College Park, MD, United StatesInstitute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, College Park, MD, United StatesReal-time neuron detection and neural activity extraction are critical components of real-time neural decoding. In this paper, we propose a novel real-time neuron detection and activity extraction system using a dataflow framework to provide real-time performance and adaptability to new algorithms and hardware platforms. The proposed system was evaluated on simulated calcium imaging data, calcium imaging data with manual annotation, and calcium imaging data of the anterior lateral motor cortex. We found that the proposed system accurately detected neurons and extracted neural activities in real time without any requirement for expensive, cumbersome, or special-purpose computing hardware. We expect that the system will enable cost-effective, real-time calcium imaging-based neural decoding, leading to precise neuromodulation.https://www.frontiersin.org/article/10.3389/fncom.2020.00043/fullreal-time image processingreal-time neuron detectiondataflowcalcium imagingdata stream mining |
| spellingShingle | Yaesop Lee Jing Xie Eungjoo Lee Srijesh Sudarsanan Da-Ting Lin Rong Chen Rong Chen Shuvra S. Bhattacharyya Shuvra S. Bhattacharyya Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging Frontiers in Computational Neuroscience real-time image processing real-time neuron detection dataflow calcium imaging data stream mining |
| title | Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging |
| title_full | Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging |
| title_fullStr | Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging |
| title_full_unstemmed | Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging |
| title_short | Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging |
| title_sort | real time neuron detection and neural signal extraction platform for miniature calcium imaging |
| topic | real-time image processing real-time neuron detection dataflow calcium imaging data stream mining |
| url | https://www.frontiersin.org/article/10.3389/fncom.2020.00043/full |
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