자료유형 | 학위논문 |
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서명/저자사항 | Analysis of Fluorescent Calcium Signals in the Detection of Neural Circuitry Abnormalities in a Mouse Model of Autism. |
개인저자 | Cantu, Daniel Alejandro. |
단체저자명 | University of California, Los Angeles. Neuroscience 004F. |
발행사항 | [S.l.]: University of California, Los Angeles., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 137 p. |
기본자료 저록 | Dissertations Abstracts International 81-06B. Dissertation Abstract International |
ISBN | 9781687965950 |
학위논문주기 | Thesis (Ph.D.)--University of California, Los Angeles, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
Advisor: Portera-Cailliau, Carlos. |
이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
요약 | The formation, refinement and plasticity of circuits are defining features of the central nervous system, giving rise to many of the unique and complex functionalities of the brain. Advances in dynamic fluorescence imaging technology are allowing an increasing number of researchers to investigate the activity of neural circuits in vivo in animal models. Unfortunately, deciphering the data obtained through these methods is time consuming and has largely been delegated to a few investigators who have the expertise to do so. We present an open-source, modular, and adaptable software suite designed for motion correction, segmentation, signal extraction, and deconvolution of fluorescent calcium imaging data. We apply this EZcalcium toolbox to the analysis of calcium imaging data in a mouse model of autism in order to investigate the underlying neural circuit abnormalities in the primary somatosensory and visual cortices. These contributions to the field of autism research demonstrate the utility of investigating neural circuits through optical methods. |
일반주제명 | Neurosciences. |
언어 | 영어 |
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