pMAT: An open-source software suite for the analysis of fiber photometry data.
pMAT: An open-source software suite for the analysis of fiber photometry data.
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DOI:
10.1016/j.pbb.2020.173093
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发表时间:
2021-03
期刊:
影响因子:
--
通讯作者:
Barker DJ
中科院分区:
文献类型:
--
作者:
Bruno CA;O'Brien C;Bryant S;Mejaes JI;Estrin DJ;Pizzano C;Barker DJ
The combined development of new technologies for neuronal recordings and the development of novel sensors for recording both cellular activity and neurotransmitter binding has ushered in a new era for the field of neuroscience. Among these new technologies is fiber photometry, a technique wherein an implanted fiber optic is used to record signals from genetically encoded fluorescent sensors in bulk tissue. Fiber photometry has been widely adapted due to its cost-effectiveness, ability to examine the activity of neurons with specific anatomical or genetic identities, and the ability to use these highly modular systems to record from one or more sensors or brain sites in both superficial and deep-brain structures. Despite these many benefits, one major hurdle for laboratories adopting this technique is the steep learning curve associated with the analysis of fiber photometry data. This has been further complicated by a lack of standardization in analysis pipelines. In the present communication, we present pMAT, a ‘photometry modular analysis tool’ that allows users to accomplish common analysis routines through the use of a graphical user interface. This tool can be deployed in MATLAB and edited by more advanced users, but is also available as an independently deployable, open-source application.
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影响因子:
48
作者:
Kim CK;Yang SJ;Pichamoorthy N;Young NP;Kauvar I;Jennings JH;Lerner TN;Berndt A;Lee SY;Ramakrishnan C;Davidson TJ;Inoue M;Bito H;Deisseroth K
通讯作者:
Deisseroth K
影响因子:
8.8
作者:
Root DH;Barker DJ;Estrin DJ;Miranda-Barrientos JA;Liu B;Zhang S;Wang HL;Vautier F;Ramakrishnan C;Kim YS;Fenno L;Deisseroth K;Morales M
通讯作者:
Morales M
影响因子:
5
作者:
Rodeberg NT;Sandberg SG;Johnson JA;Phillips PE;Wightman RM
通讯作者:
Wightman RM
DOI:
10.1126/science.aat4422
发表时间:
2018-06-29
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Patriarchi T;Cho JR;Merten K;Howe MW;Marley A;Xiong WH;Folk RW;Broussard GJ;Liang R;Jang MJ;Zhong H;Dombeck D;von Zastrow M;Nimmerjahn A;Gradinaru V;Williams JT;Tian L
通讯作者:
Tian L
影响因子:
8.8
作者:
Barker, David J.;Miranda-Barrientos, Jorge;Morales, Marisela
通讯作者:
Morales, Marisela