QuickNII is one of several tools developed by the Nesys laboratory, University of Oslo with the aim of facilitating brain atlas based analysis and integration of experimental data and knowledge about the human and rodent brain. QuickNII is a stand-alone desktop software for user guided affine spatial registration (anchoring) of sectional image data, typically high resolution histological images, to a 3D reference atlas space. A key feature of the tool is its ability to generate user defined cut planes through the atlas templates that match the orientation of the cutting plane of the 2D experimental images (atlas maps).
Nitrc.org: https://www.nitrc.org/frs/?group_id=1341
Version 2.2 (2019-05-28) This release includes several reference atlases: ABAMouse-v3-2015; ABAMouse-v3-2017 and WHSRat-v2, v3 and v4; Kim-UnifiedMouse-v1 both with Mac and Windows.
https://quicknii.readthedocs.io
- Programming: Gergely Csucs
- Conception, design, validation: Gergely Csucs, Maja A Puchades, Sharon C Yates, Jan G Bjaalie.
- Main component: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
- Source code: MIT licence
QuickNII (RRID:SCR_016854).
- Puchades MA, Csucs G, Lederberger D, Leergaard TB and Bjaalie JG. Spatial registration of serial microscopic brain images to three-dimensional reference atlases with the QuickNII tool. PLosONE, 2019, 14(5): e0216796. https://doi.org/10.1371/journal.pone.0216796
- Puchades MA, Yates SC, Csucs G, Carey H, Balkir A, Leergaard TB, Bjaalie JG. Software and pipelines for registration and analyses of rodent brain image data in reference atlas space. Front Neuroinform. 2025 Sep 24;19:1629388. https://doi.org/10.3389/fninf.2025.1629388
QuickNII is developed by the Neural Systems Laboratory at the Institute of Basic Medical Sciences, University of Oslo, Norway. QuickNII was developed with support from the EBRAINS infrastructure, and funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Framework Partnership Agreement No. 650003 (HBP FPA) and the European Union’s Horizon Europe Programme for Research Infrastructures Grant Agreement No. 101147319 (EBRAINS 2.0).
Report issues here on github or email: support@ebrains.eu