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Cell Migration

Cell Migration

Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.

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Related Experiment Video

Updated: Jun 27, 2025

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

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Published on: October 28, 2018

Cell-TIMP: Cellular Trajectory Inference based on Morphological Parameter.

Piyush Raj¹, Himanshu Gupta², Pooja Anantha¹

¹Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.

Biorxiv : the Preprint Server for Biology

|May 7, 2024

Summary

This summary is machine-generated.

This study introduces quantitative phase imaging and trajectory inference for label-free cell morphology analysis. The method tracks disease progression, revealing significant shape changes in leukemia and breast cancer metastasis.

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Last Updated: Jun 27, 2025

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

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Published on: October 28, 2018

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An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

Published on: August 31, 2012

Area of Science:

Cell Biology
Biophysics
Computational Biology

Background:

Cellular morphology is crucial in experimental cell biology but traditional methods face limitations.
Staining and geometric analysis can alter cell states and miss continuous biological processes.
Existing techniques struggle to capture the dynamic nature of cell differentiation, immune responses, and cancer progression.

Purpose of the Study:

To develop a novel, label-free method for precise cellular morphology assessment.
To apply trajectory inference analysis using only morphological data for biological insights.
To investigate disease progression in leukemia and breast cancer metastasis through morphological evolution.

Main Methods:

Utilized quantitative phase imaging for label-free morphological data acquisition.
Repurposed a genomic analysis toolbox for trajectory inference based on morphology.
Applied the framework to study leukemia and breast cancer metastasis progression.

Main Results:

Demonstrated a clear pattern of morphological evolution correlated with disease advancement.
Identified functionally significant cell shape changes missed by conventional methods.
Validated the efficacy of the label-free, morphology-based analysis framework.

Conclusions:

Quantitative phase imaging combined with trajectory inference offers a powerful new approach for analyzing cellular morphology.
This method provides deeper insights into complex biological dynamics like cancer progression.
The technique holds significant potential for advancing experimental cell biology research.