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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.
	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
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7	7	(% style="color:#c0392b" %)[[image:Doublet_illust_NOP_tta.png]]
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10		-(% class="wikigeneratedid" id="HHowcanImapthepositionofmyelectrode3F" %)
11		-(% style="color:#c0392b" %)How can I map the position of my electrode?
	10	+== (% style="color:#c0392b" %)How can I map the position of my electrode?(%%) ==
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16		-(% class="wikigeneratedid" id="HHowcanIcountmylabelledcells3F" %)
17		-(% style="color:#c0392b" %)How can I count my labelled cells?
	15	+== (% style="color:#c0392b" %)How can I count my labelled cells?(%%) ==
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	18	+If you have 2D image series with labelled cells, you can use the QUINT workflow in order to determine the cell load per atlas region and even create a personalized analysis by defining your own grouping of regions from the reference atlas regions. You will start with registration using QuickNII and VisuAlign, then segment the cells  with ilastik and quantify with Nutil Quantifier. More details can be found here: [[QUINT workflow>>https://wiki.ebrains.eu/bin/view/Collabs/quint]]
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