Dendritic spine detection using curvilinear structure detector and LDA classifier.

Dendritic spine detection using curvilinear structure detector and LDA classifier. Research Abstract Details 

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Dendritic spine detection using curvilinear structure detector and LDA classifier. Abstract Text:

Yong Zhang,Xiaobo Zhou,Rochelle M Witt,Bernardo L Sabatini,Donald Adjeroh,Stephen T C Wong,

Dendritic spines are small, bulbous cellular compartments that carry synapses. Biologists have been studying the biochemical pathways by examining the morphological and statistical changes of the dendritic spines at the intracellular level. In this paper a novel approach is presented for automated detection of dendritic spines in neuron images. The dendritic spines are recognized as small objects of variable shape attached or detached to multiple dendritic backbones in the 2D projection of the image stack along the optical direction. We extend the curvilinear structure detector to extract the boundaries as well as the centerlines for the dendritic backbones and spines. We further build a classifier using Linear Discriminate Analysis (LDA) to classify the attached spines into valid and invalid types to improve the accuracy of the spine detection. We evaluate the proposed approach by comparing with the manual results in terms of backbone length, spine number, spine length, and spine density.

Dendritic spine detection using curvilinear structure detector and LDA classifier. Publishing Authors By Initials

Y Zhang,X Zhou,RM Witt,BL Sabatini,D Adjeroh,ST Wong,

For similar investigative techniques: epidemiologic methods: statistics as topic: sensitivity and specificity research abstracts see: investigative techniques: epidemiologic methods: statistics as topic: sensitivity and specificity research

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Dendritic spine detection using curvilinear structure detector and LDA classifier. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: NeuroImage

VOLUME: 36

Page Numbers: 346-60

Journal Abbreviation: Neuroimage

ISSN: 1053-8119

DAY: 13

MONTH: 03

YEAR: 2007

Dendritic spine detection using curvilinear structure detector and LDA classifier. Information

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LANGUAGE: eng

NlmUniqueID: 9215515

Dendritic spine detection using curvilinear structure detector and LDA classifier. Keywords Mesh Terms:

KEYWORDS: Sensitivity and Specificity

MESH TERMS: methods

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Grant and Affiliation Information for Dendritic spine detection using curvilinear structure detector and LDA classifier.

AFFILIATION: Center for Bioinformatics, Harvard Center for Neurodegeneration and Repair, Harvard Medical School, Boston, MA 02215, USA.

Country: United States

AGENCY: United States NLM

GRANT: R01 LM0008696

ACRONYM: LM

MEDLINETA: Neuroimage

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