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Thin film notch filters as platforms for biological image processing
Shaban B Sulejman1, Niken Priscilla2, Lukas Wesemann2
1ARC Centre of Excellence for Transformative Meta-Optical Systems, School of Physics, The University of Melbourne, Melbourne, VIC, 3010, Australia. sulejmans@unimelb.edu.au.
Scientific Reports
|March 19, 2023
Summary
This study introduces a novel all-optical image processing method using spatial frequency filtering to create real-time pseudo-3D images of biological samples, like cancer cells, for label-free imaging.
Area of Science:
- Optics and Photonics
- Biomedical Imaging
- Image Processing
Background:
- Spatial frequency content is crucial for many image processing tasks.
- Traditional methods often require complex setups or labels for biological samples.
Purpose of the Study:
- To demonstrate an all-optical spatial frequency filtering technique for image processing.
- To generate real-time pseudo-3D images of transparent samples.
- To explore applications in label-free biological cell imaging.
Main Methods:
- Utilizing the angular sensitivity of a commercial spectral bandstop filter.
- Implementing object-plane spatial frequency filtering.
- Applying the technique to transparent biological samples, including human cervical cancer cells.
Main Results:
- Successful generation of real-time pseudo-3D images.
- Demonstration of label-free imaging capabilities.
- Validation of the method on biological samples.
Conclusions:
- The developed all-optical spatial frequency filtering offers a promising approach for real-time image processing.
- This non-local, non-interferometric method has significant potential for label-free biological cell imaging and dynamical monitoring.

