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Optimal compressive multiphoton imaging at depth using single-pixel detection
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DOI：10.1364/OL.44.004981.png)
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Compressive sensing can overcome the Nyquist criterion and record images with a fraction of the usual number of measurements required. However, conventional measurement bases are susceptible to diffraction and scattering, prevalent in high-resolution microscopy. In this Letter, we explore the random Morlet basis as an optimal set for compressive multi-photon imaging, based on its ability to minimize the space- frequency uncertainty. We implement this approach for wide-field multiphoton microscopy with single-pixel detection, which allows imaging through turbid media without correction. The Morlet basis promises a route for rapid acquisition with lower photodamage. (C) 2019 Optical Society of America
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IF:
3.3
论文数:
4.0W
被引数:
7.6W
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