Highly sensitive eight-channel light sensing system for biomedical applications.

Autor: Kim SB; Research Institute for Environmental Management Technology, National Institute of Advanced Industrial Science and Technology (AIST), Onogawa 16-1, Tsukuba, Ibaraki, 305-8569, Japan. kimu-sb@aist.go.jp., Hori SS; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Palo Alto, California, 94304, USA.; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California, 94304, USA., Sadeghipour N; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Palo Alto, California, 94304, USA.; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California, 94304, USA., Sukumar UK; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Palo Alto, California, 94304, USA.; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California, 94304, USA., Fujii R; Research Institute for Environmental Management Technology, National Institute of Advanced Industrial Science and Technology (AIST), Onogawa 16-1, Tsukuba, Ibaraki, 305-8569, Japan., Massoud TF; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Palo Alto, California, 94304, USA.; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California, 94304, USA., Paulmurugan R; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Palo Alto, California, 94304, USA.; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California, 94304, USA.
Jazyk: angličtina
Zdroj: Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology [Photochem Photobiol Sci] 2020 Apr 15; Vol. 19 (4), pp. 524-529.
DOI: 10.1039/d0pp00017e
Abstrakt: 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.
Databáze: MEDLINE
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