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Compressed sensing laser scanning microscopy
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DOI：10.1364/OE.24.030038.png)
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We present a measurement and reconstruction method for laser-scanning microscopy based on compressed sensing, which enables significantly higher frame rates and reduced photobleaching. The image reconstruction accuracy is ensured by including a model of the physical imaging process into the compressed sensing reconstruction procedure. We demonstrate its applicability to unmodified commercial confocal fluorescence microscopy systems and for Raman imaging, showing a potential data reduction of 10-15 times, which directly leads to improvements in acquisition speed, or reduction of photobleaching, without significant loss of spatial resolution. Furthermore, the reconstruction model is also robust to noise, and effective for low-light applications. This method has promising applications for all imaging modalities based on laser-scanning acquisition, including fluorescence, Raman, and nonlinear microscopy. (C) 2016 Optical Society of America
Keyword:
TOTAL VARIATION MINIMIZATION
FLUORESCENCE MICROSCOPY
RECONSTRUCTION
ALGORITHM
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IF:
3.3
论文数:
6.1W
被引数:
14.3W
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