Abstract
In this paper we present the design and implementation of a Compressive Sensing Microscopy (CSM) imaging system, which uses the Compressive Sensing (CS) method to realize optical-sectioning imaging. The theoretical aspect of the proposed system is investigated using the mathematical model of the CS method and an experimental prototype is constructed to verify the CSM design. Compared to conventional optical-sectioning microscopes (such as Laser Scanning Confocal Microscopes (LSCMs) or Programmable Array Microscopes (PAMs)), the CSM system realizes optical-sectioning imaging using a single-pixel photo detector and without any mechanical scanning process. The complete information of the imaging scene is reconstructed from the CS measurements numerically.
Highlights
Optical-sectioning microscopy is widely used in the fields of cellular imaging, bio-medical analysis, and semiconductor inspection
We reported the fabrication of a Compressive Sensing (CS)-based microscopy (CSM) imaging system and presented image reconstruction results based on reflective semiconductor samples [10]
We introduce the implementation of a special CS measurement pattern, called modified scrambled-block Hadamard ensemble (MSBHE) [11], with our prototype Compressive Sensing Microscopy (CSM) system
Summary
Optical-sectioning microscopy is widely used in the fields of cellular imaging, bio-medical analysis, and semiconductor inspection. In laser-scanning confocal microscopes (LSCMs), this sampling strategy is realized by spatial/temporal scanning instruments (such as galvo-mirrors or spinning disks) and single-pixel detectors, whereas in PAM systems, dynamic pinhole-masks and CCD cameras are used [2,3,4]. This exhaustive sampling strategy guarantees the completeness of the image-acquisition process, but it generates a certain amount of redundant information [5,6,7]. This paper is organized as follows: Section 2 gives a short introduction to the CS method; Section 3 introduces the light propagation model of the CSM system; Section 4 examines the performance of the CSM system in the simulation environment; Section 5 presents the experimental results and Section 6 concludes the work
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