Paper
13 November 2014 Signal reduction in fluorescence imaging using radio frequency-multiplexed excitation by compressed sensing
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Abstract
Fluorescence imaging using radio frequency-multiplexed excitation (FIRE) has emerged to enable an order-of-magnitude higher frame rate than the current technologies. Similar to all high-speed realtime imaging modalities, FIRE inherently generates massive image data continuously. While this technology entails high-throughput data sampling, processing, and storage in real-time, strategies in data compression on the fly is also beneficial. We here report that it is feasible to exploit the radio frequency-multiplexed excitation scheme in FIRE for implementing compressed sensing (CS) without any modification of the FIRE system. We numerically demonstrate that CS-FIRE can reduce the effective data rate by 95% without severe degradation of image quality.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antony C. S. Chan, Edmund Y. Lam, and Kevin K. Tsia "Signal reduction in fluorescence imaging using radio frequency-multiplexed excitation by compressed sensing", Proc. SPIE 9279, Real-time Photonic Measurements, Data Management, and Processing, 92790U (13 November 2014); https://doi.org/10.1117/12.2072016
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Luminescence

Compressed sensing

Image restoration

Data storage

Image quality

Flow cytometry

Signal processing

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