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Updated: Apr 19, 2026

Tracking Mouse Bone Marrow Monocytes In Vivo

Tracking Mouse Bone Marrow Monocytes In Vivo

Published on: February 27, 2015

Semi-automated object tracking methods in biological imaging.

Michael A Davis¹, Ondřej Pražský², Laura R Sysko¹

¹Nikon Instruments, Melville, New York.

Current Protocols in Cytometry

|January 7, 2015

Summary

This summary is machine-generated.

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This study explores time-lapse imaging analysis for tracking cellular dynamics. It details methods for object detection, linking, and interpretation using semi-automated software to extract kinetic information.

Area of Science:

Cellular and Molecular Imaging
Biophysics
Quantitative Biology

Background:

Time-lapse imaging provides valuable kinetic data on cellular activity and behavior.
Analyzing dynamic cellular processes from image sequences presents significant challenges due to motion, intensity variations, and object appearance/disappearance.

Purpose of the Study:

To present strategies and methods for robust object tracking in time-lapse microscopy datasets.
To guide researchers in extracting quantitative kinetic information from complex cellular dynamics.

Main Methods:

Discussion of data sampling, object detection, image analysis, and post-analysis interpretation techniques.
Exploration of theories and methods for single-particle tracking, spot detection, and object linking.

Keywords:

digital imaging image analysis image segmentation methods object linking object tracking sampling frequency single-particle tracking

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Behavioral Tracking and Neuromast Imaging of Mexican Cavefish

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Last Updated: Apr 19, 2026

Tracking Mouse Bone Marrow Monocytes In Vivo

Tracking Mouse Bone Marrow Monocytes In Vivo

Published on: February 27, 2015

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles

Published on: October 1, 2014

Behavioral Tracking and Neuromast Imaging of Mexican Cavefish

Behavioral Tracking and Neuromast Imaging of Mexican Cavefish

Published on: April 6, 2019

Step-by-step procedures for using semi-automated software and visualization tools for tracking and interpretation.

Main Results:

Provides a framework for addressing challenges in time-lapse image analysis.
Demonstrates practical application of tracking methodologies.
Enables interpretation of cellular kinetic data.

Conclusions:

Effective tracking and analysis of time-lapse imaging data are crucial for understanding cellular dynamics.
Semi-automated software and visualization tools facilitate the extraction and interpretation of kinetic information.
This work offers a comprehensive guide for researchers utilizing time-lapse microscopy.