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Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Published on: December 16, 2017

Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p.

Jure Majnik¹, Manon Mantez¹, Sofia Zangila¹

¹Aix-Marseille Université, Inserm, INMED, Turing Center for Living Systems, Marseille, France.

|December 10, 2025

Summary

Researchers developed a new method to track neuron activity in developing brains over time. This tool helps understand brain development and identify potential issues in neurodevelopmental disorders.

Keywords:

calcium imaging cell tracking development mouse neocortex neuroscience

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Last Updated: Jan 9, 2026

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Published on: December 16, 2017

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Longitudinal Two-Photon Imaging of Dorsal Hippocampal CA1 in Live Mice

Longitudinal Two-Photon Imaging of Dorsal Hippocampal CA1 in Live Mice

Published on: June 19, 2019

Area of Science:

Neuroscience
Developmental Biology
Computational Biology

Background:

Tracking neuronal activity over time is crucial for understanding brain development.
Existing automated tools for long-term neuron tracking are limited, hindering longitudinal studies.

Purpose of the Study:

To develop and validate a novel automated method for tracking neuronal populations across multiple days in the developing brain.
To enable robust long-term analysis of neuronal dynamics and representational stability during early brain development.

Main Methods:

A novel cell tracking method based on sequential image registration was developed.
The method was validated using in vivo calcium imaging data from mouse pups' barrel cortex over one postnatal week.

Main Results:

The method enables robust long-term tracking of hundreds of individual neurons.
A key developmental transition in neuronal activity statistics, including the emergence of arousal state modulation, was identified.

Conclusions:

The developed method is an essential tool for tracking developmental trajectories of individual neurons.
This approach can aid in identifying deviations associated with neurodevelopmental disorders and understanding cortical circuit development.