Compressive Image Scanning Microscope

• URL: http://arxiv.org/abs/2307.09841v1
• Date: Wed, 19 Jul 2023 08:55:39 GMT
• Title: Compressive Image Scanning Microscope
• Authors: Ajay Gunalan, Marco Castello, Simonluca Piazza, Shunlei Li, Alberto Diaspro, Leonardo S. Mattos, Paolo Bianchini
• Abstract summary: We present a novel approach to implement compressive sensing in laser scanning microscopes (LSM) 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. By exploiting the parallel images generated by the SPAD array, we improve the quality of the reconstructed compressive-ISM images.
• Score: 0.860934062228756
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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