2013 Fiscal Year Final Research Report
Development of quantitative evaluation methods for high-resolution Ca2+ imaging data
| Project/Area Number |
23500375
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Bioinformatics/Life informatics
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
AONISHI Toru 東京工業大学, 総合理工学研究科(研究院), 准教授 (00333352)
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| Co-Investigator(Renkei-kenkyūsha) |
MIYAKAWA Hiroyoshi 東京薬科大学, 生命科学部, 教授 (90166124)
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| Project Period (FY) |
2011 – 2013
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| Keywords | カルシュムイメージング / 状態空間モデル / ベイズ統計 / 樹状突起 / カルシウムウエーブ / 粒子フィルタ / 非負値行列因子分解 |
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| Research Abstract |
Recently, Ca2+ imaging techniques, which have progressed rapidly in recent years, enable us to observe the behavior of intracellular Ca2+ under high resolution. We aim to develop analytical methods for high-resolution Ca2+ imaging data. Research project I: We developed a Bayesian statistical method to estimate intracellular Ca2+ concentration from Ca2+ fluorescence intensities. We used state space modeling method to formulate the observation process of Ca2+ fluorescence intensities. Research project II: We proposed a statistical scheme for the quantitative estimate of Ca2+ wave from spatiotemporal Ca2+ imaging data based on a state space modeling of dendritic Ca2+ diffusion process. Research project III: We developed a cell detection algorithm using non-negative matrix factorization on Ca2+ imaging data. We demonstrated that our method could decompose rapid transient components corresponding to somas and dendrites of many neurons.
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Research Products
(28 results)
