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Updated: Jul 7, 2026

Single Cell Fate Mapping in Zebrafish

Single Cell Fate Mapping in Zebrafish

Published on: October 5, 2011

An automated method for cell detection in zebrafish.

Tianming Liu¹, Gang Li, Jingxin Nie

¹The Center for Biomedical Informatics, The Methodist Hospital Research Institute, Houston, TX, USA.

Neuroinformatics

|February 22, 2008

Summary

This summary is machine-generated.

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This study introduces a new automated method for quantifying zebrafish neuronal cells, achieving over 95% accuracy. The technique is effective for various cell types and imaging methods in neurological research.

Area of Science:

Neuroscience
Cell Biology
Computational Biology

Background:

Accurate cell quantification is essential for studying neurological diseases and development.
Existing methods may lack efficiency or generalizability across different cell types and imaging techniques.

Purpose of the Study:

To develop and validate a novel, automated cell detection and quantification method for zebrafish neuronal cells.
To demonstrate the method's high sensitivity and specificity across diverse datasets.

Main Methods:

Generation of a diffused gradient vector field.
Accumulation of gradient orientations and magnitudes to compute a response image.
Non-maximum suppression for candidate identification and color-based clustering for final detection.

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Last Updated: Jul 7, 2026

Single Cell Fate Mapping in Zebrafish

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Published on: October 5, 2011

Development of automated imaging and analysis for zebrafish chemical screens.

Development of automated imaging and analysis for zebrafish chemical screens.

Published on: June 24, 2010

Semi-automated Imaging of Tissue-specific Fluorescence in Zebrafish Embryos

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Published on: May 17, 2014

Main Results:

The automated method achieved high sensitivity and specificity (>95%) across five distinct zebrafish cell datasets.
Successful quantification of primary motor neurons, Rohon-Beard neurons, and retinal cells.
Demonstrated applicability to nuclear staining, immunohistochemistry, and cell death detection.

Conclusions:

The novel method provides a robust and accurate approach for automated neuronal cell quantification in zebrafish.
The technique shows broad applicability, supporting its use in various neurological and developmental research contexts.