Digital spectral separation methods and systems for bioluminescence imaging.
We propose a digital spectral separation (DSS) system and methods to extract spectral information optimally from a weak multi-spectral signal such as in the bioluminescent imaging (BLI) studies. This system utilizes our newly invented spatially-translated spectral-image mixer (SSM), which consists of dichroic beam splitters, a mirror, and a DSS algorithm. The DSS approach overcomes the shortcomings of the data acquisition scheme used for the current BLI systems. Primarily, using our DSS scheme, spectral information will not be filtered out. Accordingly, truly parallel multi-spectral multi-view acquisition is enabled for the first time to minimize experimental time and optimize data quality. This approach also permits recovery of the bioluminescent signal time course, which is useful to study the kinetics of multiple bioluminescent probes using multi-spectral bioluminescence tomography (MSBT).
Wang
Ge
G
1School of Biomedical Engineering and Sciences, Virginia Polytechnic Institute & State University, 1880 Pratt Dr. Suite 2000. Blacksburg, VA 24060, USA. wangg@vt.edu
Shen
Haiou
H
Liu
Ying
Y
Cong
Alex
A
Cong
Wenxiang
W
Wang
Yue
Y
Dubey
Purnima
P
D000465:Algorithms; D004867:Equipment Design; D019544:Equipment Failure Analysis; D008163:Luminescent Measurements / Q000295:instrumentation*; D008856:Microscopy, Fluorescence / Q000295:instrumentation*; D010865:Pilot Projects; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D041622:Tomography, Optical / Q000295:instrumentation*