Compressive fluorescence spectral imaging with a spectrometer
Chao Wang, Xue-Feng Liu, Wen-Kai Yu, Xu-Ri Yao, Fu Zheng, Qian Dong,, Ruo-Ming Lan, Guang-Jie Zhai, and Qing Zhao

TL;DR
This paper introduces a compressive sensing approach for fluorescence spectral imaging that captures spectral and spatial data simultaneously without mechanical scanning, achieving high spectral resolution and efficiency.
Contribution
It demonstrates a novel CS-based spectral imaging method using a fiber spectrometer, enabling faster acquisition and higher light energy collection compared to traditional scanning methods.
Findings
Achieved spectral resolution of 1.4nm with fiber spectrometer.
Obtained 50% of light energy from the object, surpassing mechanical scanning.
Discussed the relationship between sampling rate and image quality.
Abstract
We present an efficient approach and principle experiment for compressive sensing (CS) fluorescence spectral imaging. According to the dimension-reduced effect of CS, the spectral and spatial information was simultaneously obtained by using a fiber spectrometer without mechanical scanning. As a method verification, we demonstrated spectral imaging under only two typical wavelengths, but the spectral resolution is up to 1.4nm depended on the fiber spectrometer. The method could obtain 50% light energy from the object, much larger compared with mechanical scanning which detects light of only one point per measurement. The relationship between sampling rate and image quality is also discussed in this study.
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Age of Information Optimization · Molecular Communication and Nanonetworks
