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Updated: Jun 11, 2026

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

Deciphering subcellular processes in live imaging datasets via dynamic probabilistic networks.

Kresimir Letinic¹, Rafael Sebastian, Andrew Barthel

¹Department of Neurobiology, Yale University School of Medicine, New Haven, CT 06510, USA. kresimir.letinic@yale.edu

Bioinformatics (Oxford, England)

|June 29, 2010

Summary

This summary is machine-generated.

Hidden Markov models (HMMs) analyze live cell imaging to reveal complex cellular dynamics. This approach successfully mapped insulin-controlled Glut4-vesicle exocytosis, offering new insights into glucose homeostasis.

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Area of Science:

Cell Biology
Biophysics
Computational Biology

Background:

Formal mathematical descriptions of intracellular dynamics are challenging.
Live cell imaging captures cellular state changes but offers limited dynamic information.

Purpose of the Study:

To develop a novel computational approach for analyzing live cell imaging data.
To investigate the dynamics of insulin-mediated exocytosis of Glut4-vesicles.

Main Methods:

Implementation of hidden Markov models (HMMs) for analyzing organelle behavior in live cell imaging.
Utilizing total internal reflection fluorescence microscopy (TIRFM) to capture Glut4-vesicle dynamics.
Application of static spatial statistics for independent validation.

Main Results:

HMMs successfully determined distinct cellular states and their evolution during biological processes.
Analysis revealed insulin's control over the spatial and temporal dynamics of exocytosis via the exocyst complex.
Demonstrated complex spatial-temporal regulation of exocytosis in non-polarized cells, validated by static methods.

Conclusions:

HMMs provide a powerful tool for analyzing complex cellular dynamics in live cell imaging.
The approach is applicable to a wide range of cellular processes, including cell polarization, signaling, and development.
Direct evidence for complex spatial-temporal regulation of exocytosis was provided.