scholarly journals Optogenetic approaches for functional mouse brain mapping

2013 ◽  
Vol 7 ◽  
Author(s):  
Diana H. Lim ◽  
Jeffrey LeDue ◽  
Majid H. Mohajerani ◽  
Matthieu P. Vanni ◽  
Timothy H. Murphy
Keyword(s):  
2014 ◽  
Vol 60 ◽  
pp. 143-153 ◽  
Author(s):  
Amélie Béduer ◽  
Pierre Joris ◽  
Sébastien Mosser ◽  
Vincent Delattre ◽  
Patrick C. Fraering ◽  
...  

Neuroscience ◽  
1991 ◽  
Vol 43 (1) ◽  
pp. 21-30 ◽  
Author(s):  
E. Ban ◽  
G. Milon ◽  
N. Prudhomme ◽  
G. Fillion ◽  
F. Haour

2021 ◽  
Vol 1 (2) ◽  
pp. 100038
Author(s):  
Tomoyuki Mano ◽  
Ken Murata ◽  
Kazuhiro Kon ◽  
Chika Shimizu ◽  
Hiroaki Ono ◽  
...  

2020 ◽  
Author(s):  
Tomoyuki Mano ◽  
Ken Murata ◽  
Kazuhiro Kon ◽  
Chika Shimizu ◽  
Hiroaki Ono ◽  
...  

ABSTRACTRecent advancements in tissue clearing technologies have offered unparalleled opportunities for researchers to explore the whole mouse brain at cellular resolution. With the expansion of this experimental technique, however, a scalable and easy-to-use computational tool is in demand to effectively analyze and integrate whole-brain mapping datasets. To that end, here we present CUBIC-Cloud, a cloud-based framework to quantify, visualize and integrate whole mouse brain data. CUBIC-Cloud is a fully automated system where users can upload their whole-brain data, run analysis and publish the results. We demonstrate the generality of CUBIC-Cloud by a variety of applications. First, we investigated brain-wide distribution of PV, Sst, ChAT, Th and Iba1 expressing cells. Second, Aβ plaque deposition in AD model mouse brains were quantified. Third, we reconstructed neuronal activity profile under LPS-induced inflammation by c-Fos immunostaining. Last, we show brain-wide connectivity mapping by pseudo-typed Rabies virus. Together, CUBIC-Cloud provides an integrative platform to advance scalable and collaborative whole-brain mapping.


2020 ◽  
Author(s):  
Miguel A. Gama Sosa ◽  
Rita De Gasperi ◽  
Gissel M. Perez ◽  
Patrick R. Hof ◽  
Gregory A. Elder

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