Ultrafast time-stretch imaging technique recently attracts an increasing interest for applications in cell classification due to high throughput and high sensitivity. A novel imaging modality of time-stretch imaging technique for edge detection is proposed. Edge detection based on the directional derivative is realized using differential detection. As the image processing is mainly implemented in the physical layer, the computation complexity of edge extraction is significantly reduced. An imaging system for edge detection with the scan rate of 77.76MHz is experimentally demonstrated. Resolution target is first measured to verify the feasibility of the edge extraction. Furthermore, various cells, including red blood cells, lung cancer cells and breast cancer cells, are detected. The edges of cancerous cells present in a completely different form. The imaging system for edge detection would be a good candidate for high-throughput cell classification.
|Journal||Journal of Biophotonics|
|Early online date||10 Jul 2018|
|Publication status||Published - Jan 2019|
- Cell analysis
- Edge detection
- Pattern recognition
- Ultrafast imaging
ASJC Scopus subject areas
- Materials Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Physics and Astronomy(all)
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- School of Engineering & Physical Sciences - Associate Professor
- School of Engineering & Physical Sciences, Institute of Photonics and Quantum Sciences - Associate Professor
Person: Academic (Research & Teaching)