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Semi-automated Sholl analysis for quantifying changes in growth and differentiation of neurons and glia.

ABSTRACT: There is a need to develop therapies that promote growth or remyelination of mammalian CNS axons. Although the feasibility of pre-clinical treatment strategies should be tested in animal models, in vitro assays are usually faster and less expensive. As a result, in vitro models are ideal for screening large numbers of potential therapeutics prior to use in more complex in vivo systems. In 1953, Sholl introduced a technique that is a reliable and sensitive method for quantifying indices of neurite outgrowth. However, application of the technique is limited because it is labor-intensive. Several methods have been developed to reduce the analysis time for the Sholl technique; but these methods require extensive pre-processing of digital images, they introduce user bias or they have not been compared to manual analysis to ensure accuracy. Here we describe a new, semi-automated Sholl technique for quantifying neuronal and glial process morphology. Using MetaMorph, we developed an unbiased analysis protocol that can be performed approximately 3x faster than manual quantification with a comparable level of accuracy regardless of cell morphology. The laborious image processing typical of most computer-aided analysis is avoided by embedding image correction functions into the automated portion of the analysis. The sensitivity and validity of the technique was confirmed by quantifying neuron growth treated with growth factors or oligodendroglial maturation in the presence or absence of thyroid hormone. Thus, this technique provides a rapid and sensitive method for quantifying changes in cell morphology and screening for treatment effects in multiple cell types in vitro.

SUBMITTER: Gensel JC

PROVIDER: S-EPMC2911480 | biostudies-other | 2010 Jun

REPOSITORIES: biostudies-other

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Semi-automated Sholl analysis for quantifying changes in growth and differentiation of neurons and glia.

Gensel John C JC Schonberg David L DL Alexander Jessica K JK McTigue Dana M DM Popovich Phillip G PG

Journal of neuroscience methods 20100511 1

There is a need to develop therapies that promote growth or remyelination of mammalian CNS axons. Although the feasibility of pre-clinical treatment strategies should be tested in animal models, in vitro assays are usually faster and less expensive. As a result, in vitro models are ideal for screening large numbers of potential therapeutics prior to use in more complex in vivo systems. In 1953, Sholl introduced a technique that is a reliable and sensitive method for quantifying indices of neurit ...[more]

PMID: 20438758

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Project description:To describe and validate a semi-automated targeted sampling (SATS) method for quantifying optic nerve axons in a feline glaucoma model.Optic nerve cross sections were obtained from 15 cats, nine with mild to severe glaucoma and six with normal eyes. Optic nerves were dissected, fixed in paraformaldehyde and glutaraldehyde, and processed for light microscopy by resin embedding, sectioning, and staining of axon myelin sheaths with 1% p-phenylenediamine before axon quantification. Commercially available image analysis software was used as a semi-automated axon counting tool (SCT) and was first validated by comparison with a manual axon count (MAC). This counting tool was then used in a SATS method performed by three masked raters and in a semi-automated full count (SAFC) method performed by a single observer. Correlation was assessed between the SCT and MAC using a linear model and analysis of covariance (ANCOVA). Correlation between the SATS and SAFC methods was calculated and the bias, systematic errors, and variance component assessed. The intraclass correlation coefficient (ICC) was determined to establish inter-rater agreement. In addition, the time required to perform the SATS and SAFC methods was evaluated.Correlation between the axon counts obtained by the SCT and MAC was strong (r = 0.9985). There was evidence of an overcounting of axons by the SCT compared to the MAC with a percentage error rate of 13.0% (95% confidence interval [CI] 11.0%, 15.1%). Both the correlation of SATS count (average per rater) to SAFC (r = 0.9891) and inter-rater agreement (ICC = 0.986) were high. The SATS method presented an overall positive counting error (p<0.001) when compared to the SAFC, consistent with a fixed percentage overestimation of 11.2% (95% CI 8.3%, 14.2%) of the full count. The average time required to quantify axons by the SATS method was 10.9 min, only 27% of that required to conduct the SAFC.Our data demonstrate that the SATS method provides a practical, rapid, and reliable means of estimating axon counts in the optic nerves of cats with glaucoma.

Dataset Information

Semi-automated Sholl analysis for quantifying changes in growth and differentiation of neurons and glia.

Publications

Semi-automated Sholl analysis for quantifying changes in growth and differentiation of neurons and glia.

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