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Highly sensitive eight-channel light sensing system for biomedical applications
- Source :
- Photochemical & Photobiological Sciences. 19:524-529
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- We demonstrate the potential of an eight-channel light sensing platform system, named Black Box I (BBI), for rapid and highly sensitive measurement of low-level light using a nonradioactive optical readout. We developed, normalized, and characterized the photon sensitivities of the eight channels of the BBI using placental alkaline phosphatase (PLAP) as a model imaging reporter. We found that the BBI system had a statistically strong linear correlation with the reference IVIS Lumina II system. When we applied normalization constants, we were able to optimize the photomultiplier tubes (PMT) of all eight channels of the BBI (up to r2 = 0.998). We investigated the biomedical utilities of BBI by: (i) determining alkaline phosphatase activities in mouse plasma samples as a diagnostic secretory biomarker of cancer, and (ii) diagnosing cancer metastases in the organs of mice bearing triple negative breast cancer. We provide an important new addition to low-cost biomedical instruments intended for pre-clinical diagnostic imaging with high sensitivity, high sample throughput, portability, and rapid on-site analysis of low-level light.
- Subjects :
- Photomultiplier
Triple Negative Breast Neoplasms
Light sensing
GPI-Linked Proteins
030226 pharmacology & pharmacy
030218 nuclear medicine & medical imaging
Photometry
Mice
03 medical and health sciences
0302 clinical medicine
Cell Line, Tumor
Biomarkers, Tumor
Medical imaging
Animals
Physical and Theoretical Chemistry
Photons
Plasma samples
Chemistry
Optical Imaging
Alkaline Phosphatase
Highly sensitive
Isoenzymes
Placental alkaline phosphatase
Alkaline phosphatase
Linear correlation
Biomedical engineering
Subjects
Details
- ISSN :
- 14749092 and 1474905X
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Photochemical & Photobiological Sciences
- Accession number :
- edsair.doi.dedup.....76437353bd9e96300fea183aad5f08fb
- Full Text :
- https://doi.org/10.1039/d0pp00017e