I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Deep learning-based image analysis identifies a DAT-negativ..:
Burkert, Nicole
;
Roy, Shoumik
;
Häusler, Max
...
Communications Biology. 6 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/s42003-023-05441-6
RT Journal T1
Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s42003-023-05441-6&Exemplar=1&LAN=DE A1 Burkert, Nicole A1 Roy, Shoumik A1 Häusler, Max A1 Wuttke, Dominik A1 Müller, Sonja A1 Wiemer, Johanna A1 Hollmann, Helene A1 Oldrati, Marvin A1 Ramirez-Franco, Jorge A1 Benkert, Julia A1 Fauler, Michael A1 Duda, Johanna A1 Goaillard, Jean-Marc A1 Pötschke, Christina A1 Münchmeyer, Moritz A1 Parlato, Rosanna A1 Liss, Birgit PB Springer Science and Business Media LLC YR 2023 SN 2399-3642 JF Communications Biology VO 6 IS 1 LK http://dx.doi.org/https://doi.org/10.1038/s42003-023-05441-6 DO https://doi.org/10.1038/s42003-023-05441-6 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)