Multi-modal chip-based fluorescence and quantitative phase microscopy for studying inflammation in macrophages.
Optics Express
|August 19, 2018
Summary
This study introduces a novel waveguide chip-based microscopy combining total internal reflection fluorescence (TIRF) and quantitative phase imaging (QPI). This dual-modality approach quantifies cellular changes during inflammation, revealing membrane disruption and altered sub-cellular content.
Area of Science:
- Biophysics
- Cell Biology
- Microscopy
Background:
- Total internal reflection fluorescence (TIRF) microscopy offers high-sensitivity, low-background imaging of cell membranes.
- However, TIRF microscopy lacks quantitative morphological analysis capabilities.
- Quantitative phase imaging (QPI) provides label-free quantification of cellular morphology.
Purpose of the Study:
- To develop an integrated waveguide chip-based microscopy system combining TIRF and QPI.
- To enable simultaneous high-contrast imaging and quantitative analysis of cellular structures.
- To investigate the effects of lipopolysaccharide (LPS)-induced inflammation on rat macrophages.
Main Methods:
- An evanescent field from a waveguide excites fluorescence for TIRF imaging.
- An upright microscope, converted into a Linnik-type interferometer, acquires both TIRF and QPI data.
- The system utilizes a multi-modal approach for comprehensive cellular analysis.
Main Results:
- TIRF imaging revealed that LPS disrupts the macrophage cell membrane, leading to significant cell expansion.
- QPI quantified alterations in sub-cellular content, indicated by a decrease in maximum phase values in LPS-challenged cells.
- The integrated system demonstrated effective multi-modal imaging of cellular responses to inflammation.
Conclusions:
- The proposed waveguide chip-based TIRF and QPI system provides a powerful tool for label-free, quantitative analysis of cellular dynamics.
- This multi-modal microscopy advances the study of cellular inflammation and membrane-related processes.
- The technology offers advantages in imaging sensitivity, quantitative accuracy, and system integration.
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