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Updated: Jul 12, 2026
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Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
Published on: April 30, 2019
Scalable quantification of dynamic subcellular spatial organization in single cells across tissues
Dirk Loeffler1, Soumen Bera1, Shalmali Pendse1
1Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Research Square
|July 10, 2026
Summary
We developed CellPolariS, an image analysis tool to precisely quantify cell polarity. This method accounts for cell variations and reveals dynamic changes in cellular structures, advancing our understanding of cell organization.
Area of Science:
- Cell Biology
- Biophysics
- Image Analysis
Background:
- Cellular polarity is crucial for cell functions like migration and differentiation, and its disruption is linked to diseases.
- Quantifying cell polarity is challenging due to cell variability in size, shape, marker expression, and dynamic nature.
- Existing methods often lack throughput, discard spatial information, and cannot capture polarity dynamics.
Purpose of the Study:
- To introduce CellPolariS, a novel image analysis framework for quantifying cell polarity in diverse cell types and living cells.
- To address limitations of existing methods by incorporating spatial subcellular organization for precise polarity measurements.
- To correct for confounding factors like cell morphology and marker expression that impair polarity quantification.
Main Methods:
- CellPolariS quantifies polarity using spatial subcellular organization, measuring the number, direction, magnitude, and concentration of cellular structures.
- The framework was validated across diverse cell types including T-cells, natural killer cells, zygotes, neurons, yeast, and bacteria.
- Analysis included hundreds of thousands of primary stem and progenitor cells and long-term imaging of living cells.
Main Results:
- CellPolariS provides precise measurements of polarity for structures like Tubulin and Actin, correcting for cell morphology and marker expression variations.
- Polarity dynamics during hematopoietic differentiation were mapped, revealing an increase in polarity during erythroid differentiation.
- Long-term imaging demonstrated that polarized subcellular structures are highly dynamic, capable of rapid state changes.
Conclusions:
- CellPolariS is a robust tool for accurate and dynamic cell polarity quantification across various cell types and conditions.
- The study highlights the dynamic nature of cell polarity, suggesting it is more fluid than previously understood.
- Findings provide new insights into cell organization, differentiation processes, and potential disease mechanisms related to polarity disruption.
