Extracting morphologies from third harmonic generation images of structurally normal human brain tissue.

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Bibliographic Details
Title: Extracting morphologies from third harmonic generation images of structurally normal human brain tissue.
Authors: Zhang Z; LaserLab Amsterdam, Department of Physics, Faculty of Sciences, VU University, HV Amsterdam, The Netherlands.; Physics and Medical Technology Department, VU University Medical Center,  HZ Amsterdam, The Netherlands., Kuzmin NV; LaserLab Amsterdam, Department of Physics, Faculty of Sciences, VU University, HV Amsterdam, The Netherlands.; Neuroscience Campus Amsterdam, VU University, HV Amsterdam, The Netherlands., Groot ML; LaserLab Amsterdam, Department of Physics, Faculty of Sciences, VU University, HV Amsterdam, The Netherlands.; Neuroscience Campus Amsterdam, VU University, HV Amsterdam, The Netherlands., de Munck JC; Physics and Medical Technology Department, VU University Medical Center, ?HZ Amsterdam, The Netherlands.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2017 Jun 01; Vol. 33 (11), pp. 1712-1720.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btx035