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  • QNII_neuron_recons.png

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1	1	== (% style="color:#c0392b" %)How can I identify brain regions in my images?(%%) ==
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4		-By using QuickNII, you will be able to register this image series to the mouse reference atlas version of your choice and obtain adapted atlas maps and coordinates. Further, in-plane non-linear adjustments can be made with VisuAlign in order to obtain a more precise registration. The regions shown in the example below are color coded and correspond to Mouse CCFv3_2017 atlas
	4	+By using QuickNII, you will be able to register this image series to the mouse reference atlas version of your choice and obtain adapted atlas maps and coordinates. Further, in-plane non-linear adjustments can be made with VisuAlign in order to obtain a more precise registration. The regions shown in the example below are color coded and correspond to Mouse CCFv3_2017 atlas ( Oh et al. 2014).
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6	6	(% class="wikigeneratedid" id="H" %)
7	7	(% style="color:#c0392b" %)[[image:Doublet_illust_NOP_tta.png]]
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10		-== (% style="color:#c0392b" %)How can I map the position of my electrode?(%%) ==
	10	+== (% style="color:#c0392b" %)How can I map the position of my reconstructed neuron?(%%) ==
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	12	+After in-vivo electrophysiology experiments, the recorded neurons are filled with neurobiotin making them visible on histological images. These images are registered to the Mouse atlas CCFv3_2017 ( Oh et al. 2014). The extracted coordinates of the neuron soma and the coordinates of the neuronal arbor, could then be mapped in the 3D reference space.
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15	15	== (% style="color:#c0392b" %)How can I count my labelled cells?(%%) ==
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QNII_neuron_recons.png

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	1	+XWiki.puchades

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