UNIGE document Scientific Article
previous document  unige:115766  next document
add to browser collection

Non-imaged based method for matching brains in a common anatomical space for cellular imagery

Thevenet, Marc
Fournel, Arnaud
Sacquet, Joelle
Bensafi, Moustafa
Breton, Marine
Chalençon, Laura
Cavelius, Matthias
show hidden authors show all authors [1 - 10]
Published in Journal of Neuroscience Methods. 2018, vol. 304, no. 17, p. 136-145
Abstract Cellular imagery using histology sections is one of the most common techniques used in Neuroscience. However, this inescapable technique has severe limitations due to the need to delineate regions of interest on each brain, which is time consuming and variable across experimenters.
Keywords AnimalsChromatography, Thin LayerDigitoxigenin/metabolismDigitoxin/metabolismHydroxylationIn Vitro TechniquesMaleMicrosomes, Liver/metabolismNADP/metabolismRatsTime FactorsAcetates/biosynthesisAnaerobiosisCalorimetryEscherichia coli/enzymology/growth & development/metabolismEthanol/metabolismFermentationFormates/metabolismGlucose/metabolismHydrogen/metabolismHydrogen-Ion ConcentrationLactates/biosynthesisOxidoreductases/metabolismSuccinates/biosynthesisAdenosine Triphosphate/bloodCarbon Dioxide/bloodDiphosphoglyceric Acids/bloodFemaleHemoglobins/metabolismHumansHydrogen-Ion ConcentrationOxygen/bloodOxyhemoglobins/metabolismPhosphates/bloodPregnancy
PMID: 29684463
Full text
Article (Published version) (3.7 MB) - document accessible for UNIGE members only Limited access to UNIGE
Research group Ophtalmologie expérimentale (925)
(ISO format)
MIDROIT, Maëllie et al. Non-imaged based method for matching brains in a common anatomical space for cellular imagery. In: Journal of Neuroscience Methods, 2018, vol. 304, n° 17, p. 136-145. doi: 10.1016/j.jneumeth.2018.04.004 https://archive-ouverte.unige.ch/unige:115766

246 hits

0 download


Deposited on : 2019-04-05

Export document
Format :
Citation style :