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Simultaneous cell traction and growth measurements using light.

Shamira Sridharan Weaver1,2, Yanfen Li2,3, Louis Foucard4

  • 1Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois.

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|August 15, 2018
PubMed
Summary

This article introduces a new imaging method that allows scientists to measure both the physical forces cells exert on their environment and how they grow at the same time. By combining two advanced microscopy techniques, researchers can watch stem cells change into different types while simultaneously tracking the mechanical stress they produce. This approach provides a non-destructive way to understand how physical forces influence cell development and health. The authors demonstrate this by observing mesenchymal stem cells as they differentiate into bone or fat cells. Their findings reveal that cells undergoing these changes produce stronger and more active forces than their less specialized counterparts. This technology offers a valuable tool for studying how cells interact with their surroundings during complex biological processes.

Keywords:
massquantitative phase imagingstem cellstraction forcemechanotransductiontraction stress imagingstem cell differentiationoptical microscopybiophysical analysis

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Area of Science:

  • Biophysics and Hilbert phase dynamometry applications
  • Cellular biomechanics and mechanotransduction research

Background:

No prior work had resolved the complex interplay between cellular force generation and growth dynamics using non-destructive imaging. Researchers often struggle to capture these simultaneous physical and biological changes in real-time. Existing modalities frequently lack the sensitivity required to monitor both traction stresses and biomass accumulation concurrently. This gap motivated the development of integrated optical systems capable of tracking these parameters. It was already known that mechanical environments significantly influence cell fate and behavior. However, current limitations in microscopy prevent a comprehensive understanding of these mechanotransduction pathways. That uncertainty drove the need for advanced imaging solutions that preserve cell viability. This study addresses these challenges by combining holographic and interferometric techniques to provide a holistic view of cellular development.

Purpose Of The Study:

The primary aim of this research is to develop a new imaging modality for the simultaneous measurement of cell traction and growth. Scientists face significant challenges when trying to characterize how force fields influence proliferation, migration, and differentiation. Limited availability of non-destructive imaging tools often hinders the study of these complex biological processes. This study seeks to bridge that gap by integrating real-time traction stress imaging with spatial light interference microscopy. The authors intend to provide a platform that monitors cellular behavior in both transmission and epi-fluorescence channels. By doing so, they hope to gain deeper insights into the mechanotransduction pathways that govern stem cell fate. The motivation stems from the need to understand how the matrix context guides cells toward specific physiological or pathological outcomes. This work establishes a foundation for observing these dynamic processes without compromising cell health or viability.

Main Methods:

Review Approach framing involves the integration of two distinct optical modalities to monitor cellular dynamics. The researchers combined Hilbert phase dynamometry with spatial light interference microscopy to capture simultaneous data. This design utilizes holographic principles to extract displacement fields from patterned substrates. The team employed an inverted microscope to facilitate concurrent transmission and epi-fluorescence imaging. Elasticity inverse problems were solved to convert observed displacements into quantifiable force fields. This approach ensures that the cells remain viable throughout the entire observation period. The experimental setup allows for the precise tracking of both mechanical stress and biomass accumulation. These methods provide a comprehensive strategy for analyzing the relationship between physical forces and cell development.

Main Results:

Key Findings From the Literature indicate that cells undergoing osteogenesis and adipogenesis exert significantly larger and more dynamic stresses than their precursors. Mesenchymal stem cells were found to develop the smallest forces and growth rates among the groups studied. The integrated imaging system successfully monitored these mechanical changes alongside biomass accumulation in real-time. Data analysis revealed that the physical environment plays a significant role in guiding cell differentiation. The researchers observed that the mechanical activity of cells is closely tied to their developmental trajectory. These results demonstrate the efficacy of combining holographic and interferometric techniques for cellular analysis. The findings provide quantitative evidence of the mechanical differences between stem cells and their differentiated progeny. This study highlights the capability of the new modality to capture subtle variations in force generation during biological transitions.

Conclusions:

Synthesis and Implications suggest that the integrated imaging platform provides a robust framework for investigating mechanotransduction during complex cellular transitions. The authors propose that this dual-modality approach overcomes previous limitations in monitoring force generation alongside biomass accumulation. Their observations indicate that cells undergoing lineage commitment exhibit distinct mechanical signatures compared to undifferentiated precursors. The researchers conclude that osteogenic and adipogenic cells generate significantly higher and more variable stresses than mesenchymal stem cells. This evidence supports the concept that mechanical activity is intrinsically linked to the differentiation state of the cell. The study demonstrates that the matrix context is a primary driver in guiding cells toward specific physiological outcomes. These findings highlight the utility of simultaneous measurements for characterizing the dynamic nature of stem cell development. Future investigations may utilize this technology to further elucidate the role of physical forces in pathological and healthy tissue formation.

The researchers propose that Hilbert phase dynamometry measures displacement fields from fluorescent grids on deformable substrates, which are then converted into forces by solving an elasticity inverse problem. This allows for the calculation of traction stresses exerted by cells during their growth and differentiation.

Spatial light interference microscopy serves as the secondary tool, enabling the monitoring of cell growth and biomass accumulation in transmission. It functions alongside the epi-fluorescence channel to provide a comprehensive view of cellular behavior without damaging the samples.

The authors state that an inverted microscope setup is necessary to integrate both imaging modalities. This configuration allows for the concurrent use of transmission and epi-fluorescence channels, which is essential for capturing both mechanical and biological data.

Fluorescent grids on deformable substrates act as the data-gathering component. These patterns allow the system to track displacement fields, which are then processed to quantify the mechanical forces applied by the cells to their environment.

The researchers observed that mesenchymal stem cells undergoing osteogenesis and adipogenesis exerted larger and more dynamic stresses. In contrast, undifferentiated mesenchymal stem cells developed the smallest forces and exhibited the lowest growth rates during the experimental period.

The authors propose that this imaging platform provides a powerful means to study mechanotransduction. They suggest that the matrix context is vital for guiding cells toward specific physiological or pathological outcomes during dynamic biological processes.