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Updated: Jun 30, 2026

Lensless Fluorescent Microscopy on a Chip
Published on: August 17, 2011
Compact on-chip fluorescence microscope for dynamic imaging of cellular processes and biomimetic systems
Somaiyeh Khoubafarin1, Aakash Subramanian2, William Daniel Gorgas1
1Department of Physics and Astronomy, University of Toledo, Toledo, OH 43606, United States of America.
We developed a low-cost, on-chip fluorescence microscope for high-throughput cellular imaging. This compact system enables real-time monitoring of dynamic cellular processes in biomimetic and tissue-on-chip models.
Area of Science:
- Biomedical Engineering
- Cellular Imaging
- Microscopy
Background:
- High-throughput fluorescence imaging is crucial for understanding dynamic cellular behavior in engineered tissues.
- Traditional microscopy methods require complex and expensive mechanical scanning systems.
- Cellular heterogeneity necessitates imaging multiple regions for representative biological data.
Purpose of the Study:
- To develop a compact, low-cost, on-chip fluorescence microscopy platform.
- To achieve high resolution and signal-to-noise ratio (SNR) without mechanical scanning.
- To enable wide-field monitoring of cellular dynamics in biomimetic and tissue-on-chip systems.
Main Methods:
- Integration of a 2D microlens substrate with a complementary metal-oxide-semiconductor sensor.
- Lateral excitation delivery with total internal reflection to minimize background noise.
- Optimization of optical geometry using analytical modeling and numerical simulations.
Main Results:
- Demonstrated cellular-level imaging of drug-induced oxidative stress and intracellular signaling in cancer cells.
- Visualized transport of molecules, nanoparticles, and ions across endothelial barriers in microfluidic co-cultures.
- Successfully studied complex interactions within tumor microenvironments using integrated microfluidic systems.
Conclusions:
- The developed on-chip microscope offers a simple, sensitive, and cost-effective solution for cellular imaging.
- It facilitates wide-field monitoring of large cell populations, capturing cell-to-cell variability.
- The platform supports diverse applications including drug screening, signaling studies, and tissue-on-chip research.
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