NDLI: Morphological Homogeneity of Neurons: Searching for Outlier Neuronal Cells

Content Provider	Springer Nature Link
Author	Zawadzki, Krissia Feenders, Christoph Viana, Matheus P. Kaiser, Marcus Costa, Lucia da F.
Copyright Year	2012
Abstract	We report a morphology-based approach for the automatic identification of outlier neurons, as well as its application to the NeuroMorpho.org database, with more than 5,000 neurons. Each neuron in a given analysis is represented by a feature vector composed of 20 measurements, which are then projected into a two-dimensional space by applying principal component analysis. Bivariate kernel density estimation is then used to obtain the probability distribution for the group of cells, so that the cells with highest probabilities are understood as archetypes while those with the smallest probabilities are classified as outliers. The potential of the methodology is illustrated in several cases involving uniform cell types as well as cell types for specific animal species. The results provide insights regarding the distribution of cells, yielding single and multi-variate clusters, and they suggest that outlier cells tend to be more planar and tortuous. The proposed methodology can be used in several situations involving one or more categories of cells, as well as for detection of new categories and possible artifacts.
Starting Page	379
Ending Page	389
Page Count	11
File Format	PDF
ISSN	15392791
Journal	Neuroinformatics
Volume Number	10
Issue Number	4
e-ISSN	15590089
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-05-22
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	neuromorphometry Archetypes Outliers NeuroMorpho.org Neuroscience Computer Application in Life Sciences Bioinformatics Computational Biology/Bioinformatics Neurosciences Neurology
Content Type	Text
Resource Type	Article
Subject	Neuroscience Information Systems Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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