Neurite tracing in fluorescence microscopy images using ridge filtering and graph searching: principles and validation

E Meijering; M Jacob; J.-C.F Sarria; P Steiner; H Hirling; M Unser

doi:10.1109/ISBI.2004.1398764

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Neurite tracing in fluorescence microscopy images using ridge filtering and graph searching: principles and validation

Conference proceeding

Open access

Neurite tracing in fluorescence microscopy images using ridge filtering and graph searching: principles and validation

E Meijering, M Jacob, J.-C.F Sarria, P Steiner, H Hirling and M Unser

2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821), Vol.2, pp.1219-1222 Vol. 2

2004

DOI: 10.1109/ISBI.2004.1398764

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Abstract

To assist neurobiologists investigating the molecular mechanisms involved in neurite formation and differentiation, we have developed an interactive technique for the tracing and quantification of elongated image structures. The technique is based on an improved steerable filter for computing local ridge strength and orientation. It also uses a graph-searching algorithm with a novel cost function exploiting these image features to obtain globally optimal tracings between user-defined control points. To compare the performance of the technique to that of the currently used approach of fully manual delineation, four observers traced selected neurites in fluorescence microscopy images of cells in culture, using both methods. The results indicated that the proposed technique yields comparable accuracy in measuring neurite length, significantly improved accuracy in neurite centerline extraction, significantly improved reproducibility and reduced user interaction.

Image analysis

Filtering

Microscopy

Biomedical informatics

Hafnium

Manuals

Fluorescence

Radiology

Reproducibility of results

Biomedical imaging

Details

Title: Subtitle: Neurite tracing in fluorescence microscopy images using ridge filtering and graph searching: principles and validation
Creators: E Meijering - Dept. of Med. Informatics & Radiol., Univ. Med. Center Rotterdam, Netherlands
M Jacob
J.-C.F Sarria
P Steiner
H Hirling
M Unser
Resource Type: Conference proceeding
Publication Details: 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821), Vol.2, pp.1219-1222 Vol. 2
DOI: 10.1109/ISBI.2004.1398764
Publisher: IEEE
Language: English
Date published: 2004
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
Record Identifier: 9984071612902771

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