Related Experiment Video
Updated: Aug 6, 2026

09:52
Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry
Published on: November 25, 2011
Ultrafast nanolaser flow device for detecting cancer in single cells
Paul L Gourley1, Judy K Hendricks, Anthony E McDonald
1Department 1141, MS 1413 Sandia National Laboratories, Albuquerque, NM 87185, USA. Plgourl@sandia.gov
Biomedical Microdevices
|January 13, 2006
Summary
Researchers developed a novel nanolaser technique to rapidly assess cellular respiratory health. This method identifies cancer cells by detecting biophotonic differences in mitochondria, enabling early disease detection.
Area of Science:
- Biophotonics
- Nanotechnology
- Cellular Biology
Background:
- Current cancer cell detection relies on outdated, labor-intensive microscopic methods.
- Traditional staining techniques are prone to errors due to specimen preparation.
- Emerging Bio/Micro/Nano-technologies offer potential for accurate, high-throughput cell screening.
Purpose of the Study:
- To develop a rapid, non-invasive method for assessing mammalian cell respiratory health.
- To identify biophotonic differences between normal and cancerous cells using intracellular mitochondria.
- To advance early cancer detection and diagnosis.
Main Methods:
- Utilized a nanolaser semiconductor device for rapid cell property assessment.
- Analyzed cells flown through the device to measure respiratory health.
- Employed intracellular mitochondria as biomarkers for disease detection.
Main Results:
- Successfully developed a technique to rapidly assess single mammalian cell respiratory health.
- Elucidated distinct biophotonic differences between normal and transformed mouse liver cells.
- Identified intracellular mitochondria as reliable biomarkers for cancer detection.
Conclusions:
- The nanolaser technique offers a promising approach for early-stage cancer detection.
- This method has the potential to significantly reduce diagnostic delays.
- Intracellular mitochondrial biophotonics can serve as effective biomarkers for disease.

