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Automatic Robust Neurite Detection and Morphological Analysis of Neuronal Cell Cultures in High-content Screening

Content Provider	Springer Nature Link
Author	Wu, Chaohong Schulte, Joost Sepp, Katharine J. Littleton, J. Troy Hong, Pengyu
Copyright Year	2010
Abstract	Cell-based high content screening (HCS) is becoming an important and increasingly favored approach in therapeutic drug discovery and functional genomics. In HCS, changes in cellular morphology and biomarker distributions provide an information-rich profile of cellular responses to experimental treatments such as small molecules or gene knockdown probes. One obstacle that currently exists with such cell-based assays is the availability of image processing algorithms that are capable of reliably and automatically analyzing large HCS image sets. HCS images of primary neuronal cell cultures are particularly challenging to analyze due to complex cellular morphology. Here we present a robust method for quantifying and statistically analyzing the morphology of neuronal cells in HCS images. The major advantages of our method over existing software lie in its capability to correct non-uniform illumination using the contrast-limited adaptive histogram equalization method; segment neuromeres using Gabor-wavelet texture analysis; and detect faint neurites by a novel phase-based neurite extraction algorithm that is invariant to changes in illumination and contrast and can accurately localize neurites. Our method was successfully applied to analyze a large HCS image set generated in a morphology screen for polyglutamine-mediated neuronal toxicity using primary neuronal cell cultures derived from embryos of a Drosophila Huntington’s Disease (HD) model.
Starting Page	83
Ending Page	100
Page Count	18
File Format	PDF
ISSN	15392791
Journal	Neuroinformatics
Volume Number	8
Issue Number	2
e-ISSN	15590089
Language	English
Publisher	Humana Press Inc
Publisher Date	2010-04-20
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	High content screening Neurite detection Neuromeres Gabor filter Phase symmetry Huntington’s Disease Computational Biology/Bioinformatics Biotechnology Neurology Computer Application in Life Sciences Neurosciences
Content Type	Text
Resource Type	Article
Subject	Neuroscience Information Systems Software

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Automatic Robust Neurite Detection and Morphological Analysis of Neuronal Cell Cultures in High-content Screening

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