English

Compressive Image Scanning Microscope

Image and Video Processing 2023-07-20 v1 Computer Vision and Pattern Recognition Signal Processing Optics

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.

Keywords

Cite

@article{arxiv.2307.09841,
  title  = {Compressive Image Scanning Microscope},
  author = {Ajay Gunalan and Marco Castello and Simonluca Piazza and Shunlei Li and Alberto Diaspro and Leonardo S. Mattos and Paolo Bianchini},
  journal= {arXiv preprint arXiv:2307.09841},
  year   = {2023}
}

Comments

Presented in ISCS23

R2 v1 2026-06-28T11:34:26.255Z