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Title

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

Authors
Thevenet, Marc
Fournel, Arnaud
Sacquet, Joelle
Bensafi, Moustafa
Breton, Marine
Chalençon, Laura
Cavelius, Matthias
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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
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PMID: 29684463
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Article (Published version) (3.7 MB) - document accessible for UNIGE members only Limited access to UNIGE
Structures
Research group Ophtalmologie expérimentale (925)
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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

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Deposited on : 2019-04-05

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