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Updated: May 20, 2025

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes
Published on: March 20, 2018
High-resolution multi-modal imaging of sub-cellular structures with low numerical aperture objective.
Somaiyeh Khoubafarin1, Peuli Nath1, Saloni Malla2
1Department of Physics and Astronomy, University of Toledo, Toledo, OH 43606, United States of America.
This study introduces a low numerical aperture (N.A.) objective lens method using microlens substrates to achieve high-resolution subcellular imaging. This cost-effective technique enhances microscopy for broader scientific accessibility.
Area of Science:
- Biomedical Imaging
- Microscopy Technology
- Cell Biology
Background:
- High numerical aperture (N.A.) objectives are essential for subcellular imaging but are costly, complex, and have limited fields of view.
- Current microscopy methods often require oil immersion and are restricted to imaging only a few cells at a time.
Purpose of the Study:
- To develop a cost-effective and accessible method for high-resolution imaging of subcellular structures using low N.A. objectives.
- To demonstrate simultaneous capture of scattering, phase, and fluorescence images with sub-diffraction-limited resolution.
Main Methods:
- Utilized a 2-dimensional (2-D) microlens substrate in close proximity to the sample.
- Leveraged the efficient collection of evanescent waves containing high-frequency information.
- Employed a low N.A. objective (0.25 N.A.) for imaging breast cancer cells (BT-20).
Main Results:
- Achieved sub-diffraction-limited resolution (<400 nm) with a low N.A. objective.
- Successfully observed subcellular structures and nanoparticle uptake in breast cancer cells.
- Demonstrated simultaneous capture of scattering, phase, and fluorescence images.
Conclusions:
- Microlens-assisted imaging offers an easy-to-implement, cost-effective solution to enhance resolution in microscopes with low N.A. objectives.
- This technology can lead to affordable, portable multi-modal imaging systems.
- Broad implications for democratizing high-quality microscopy, especially in resource-limited settings.
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