articleCytometry Part AMar 15, 2004HYBRID OA

Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images

Erasmus MC · Erasmus University Rotterdam · +1 more institution

PubMed
Indexed incrossrefpubmed

Abstract

Background

For the investigation of the molecular mechanisms involved in neurite outgrowth and differentiation, accurate and reproducible segmentation and quantification of neuronal processes are a prerequisite. To facilitate this task, we developed a semiautomatic neurite tracing technique. This article describes the design and validation of the technique.

Methods

The technique was compared to fully manual delineation. Four observers repeatedly traced selected neurites in 20 fluorescence microscopy images of cells in culture, using both methods. Accuracy and reproducibility were determined by comparing the tracings to high-resolution reference tracings, using two error measures. Labor intensiveness was measured in numbers of mouse clicks required. The significance of the results was determined by a Student t-test and by analysis of variance.

Citation impact

1,657
total citations
FWCI
25.45
Percentile
100%
References
40
Citations per year

Authors

6

Topics & keywords

Keywords
  • Neurite
  • Reproducibility
  • Tracing
  • Computer science
  • Biomedical engineering
  • Segmentation
  • Artificial intelligence
  • Pattern recognition (psychology)
UN Sustainable Development Goals
  • Decent work and economic growth
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