Compressive Image Scanning Microscope
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Abstract (arXiv)
We present a novel approach to implement compressive sensing in laser scanning microscopes (LSM), specifically in image scanning microscopy (ISM), using a single-photon avalanche diode (SPAD) array detector. Our method addresses two significant limitations in applying compressive sensing to LSM: the time to compute the sampling matrix and the quality of reconstructed images. We employ a fixed sampling strategy, skipping alternate rows and columns during data acquisition, which reduces the number of points scanned by a factor of four and eliminates the need to compute different sampling matrices. By exploiting the parallel images generated by the SPAD array, we improve the quality of the reconstructed compressive-ISM images compared to standard compressive confocal LSM images. Our results demonstrate the effectiveness of our approach in producing higher-quality images with reduced data acquisition time and potential benefits in reducing photobleaching.
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References · 4
- 2016Total Variation Applications in Computer Visioncited by 6
- 2022Reconstructing the Image Scanning Microscopy Dataset: an Inverse Problemcited by 4
- 2019Total variation vs L1 regularization: a comparison of compressive sensing optimization methods for chemical detectioncited by 1
- 2019Review of Algorithms for Compressive Sensing of Imagescited by 1
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