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Cell-timp: Cellular Trajectory Inference Based On Morphological Parameters.

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Cell-timp: Cellular Trajectory Inference Based On Morphological Parameters.

Related Experiment Video

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

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Cell-TIMP: Cellular Trajectory Inference Based on Morphological Parameters.

Piyush Raj¹, Himanshu Gupta², Pooja Anantha¹

¹Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.

|May 3, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study introduces quantitative phase imaging to analyze cell shape changes without staining, revealing key morphological shifts during leukemia and breast cancer progression for better disease understanding.

Keywords:

Cancer Cellular morphology Label-free imaging Quantitative phase imaging

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

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Published on: August 31, 2012

Area of Science:

Biophysics
Cell Biology
Cancer Research

Background:

Traditional cell morphology studies use staining, which can alter cell states and reduce accuracy via photobleaching.
Existing shape-based analysis methods struggle to capture the dynamic, continuous nature of biological processes like cell differentiation and cancer progression.

Purpose of the Study:

To develop a label-free method for quantitative cell morphology assessment.
To adapt genomic analysis tools for trajectory inference based solely on morphological data.
To investigate cell shape dynamics during leukemia and breast cancer metastasis.

Main Methods:

Utilized quantitative phase imaging for label-free morphological assessment.
Repurposed a genomic analysis toolbox for trajectory inference using morphology data.

Applied the framework to analyze cell progression in leukemia and breast cancer metastasis models.

Main Results:

Identified specific cell shape changes correlated with disease progression in leukemia.
Detected key morphological alterations linked to breast cancer metastasis.
Demonstrated the capability of morphology-based trajectory inference to track biological dynamics.

Conclusions:

Quantitative phase imaging offers a non-disruptive approach to cell morphology analysis.
Morphology-based trajectory inference can reveal critical insights into complex biological processes.
This method holds potential for advancing the understanding of cancer progression and other dynamic diseases.