Compressive Image Scanning Microscope

TL;DR

This paper introduces a compressive sensing technique for laser scanning microscopy using a fixed sampling pattern and a SPAD array, significantly reducing scan time and improving image quality.

Contribution

The authors propose a fixed sampling strategy in compressive image scanning microscopy that simplifies implementation and enhances image quality using SPAD arrays.

Findings

Reduced scanning points by a factor of four

Improved image quality over standard methods

Potential reduction in photobleaching

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.