Implementation of deep neural networks to count dopamine neurons in substantia nigra-Reference-Cited by-同舟云学术

Implementation of deep neural networks to count dopamine neurons in substantia nigra

Published:2018-09 Issue:6 Volume:48 Page:2354-2361
ISSN:0953-816X
Container-title:European Journal of Neuroscience
language:en
Short-container-title:Eur J Neurosci

Author:

Penttinen Anna‐Maija¹,Parkkinen Ilmari¹^ORCID,Blom Sami²,Kopra Jaakko³^ORCID,Andressoo Jaan‐Olle¹^ORCID,Pitkänen Kari²,Voutilainen Merja H.¹^ORCID,Saarma Mart¹,Airavaara Mikko¹^ORCID

Affiliation:

1. Institute of BiotechnologyHiLIFE UnitUniversity of Helsinki Helsinki Finland

2. BiomedicumFimmic Oy Helsinki Finland

3. Division of Pharmacology and PharmacotherapyFaculty of PharmacyUniversity of Helsinki Helsinki Finland

Funder

Jane ja Aatos Erkon Säätiö

Tekes

Sigrid Juséliuksen Säätiö

Academy of Finland

Instrumentariumin Tiedesäätiö

Publisher

Wiley

Subject

General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejn.14129

Reference36 articles.

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3. A comparison of model-based (2D) and design-based (3D) stereological methods for estimating cell number in the substantia nigra pars compacta (SNpc) of the C57BL/6J mouse

4. The search for true numbers of neurons and glial cells in the human brain: A review of 150 years of cell counting

5. A highly reproducible rotenone model of Parkinson's disease

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