4.6 Article

Computational Imaging at the Infrared Beamline of the Australian Synchrotron Using the Lucy-Richardson-Rosen Algorithm

Journal

APPLIED SCIENCES-BASEL
Volume 13, Issue 23, Pages -

Publisher

MDPI
DOI: 10.3390/app132312948

Keywords

computational imaging; holography; Lucy-Richardson-Rosen algorithm; microscopy; spectroscopy; image processing; non-linear reconstruction; Lucy-Richardson algorithm; mid-infrared imaging; Fourier transform infrared microspectroscopy

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The FTIRm system of the Australian Synchrotron has a unique optical configuration and uses a Schwarzschild objective to focus the beam onto the sample for image scanning. In this study, the Lucy-Richardson-Rosen algorithm (LRRA) was applied for the first time in the online FTIRm system to improve image reconstruction. This new technique called coded aperture scanning holography was demonstrated with various samples for image recovery and 3D imaging applications.
The Fourier transform infrared microspectroscopy (FTIRm) system of the Australian Synchrotron has a unique optical configuration with a peculiar beam profile consisting of two parallel lines. The beam is tightly focused using a 36x Schwarzschild objective to a point on the sample and the sample is scanned pixel by pixel to record an image of a single plane using a single pixel mercury cadmium telluride detector. A computational stitching procedure is used to obtain a 2D image of the sample. However, if the imaging condition is not satisfied, then the recorded object's information is distorted. Unlike commonly observed blurring, the case with a Schwarzschild objective is unique, with a donut like intensity distribution with three distinct lobes. Consequently, commonly used deblurring methods are not efficient for image reconstruction. In this study, we have applied a recently developed computational reconstruction method called the Lucy-Richardson-Rosen algorithm (LRRA) in the online FTIRm system for the first time. The method involves two steps: training step and imaging step. In the training step, the point spread function (PSF) library is recorded by temporal summation of intensity patterns obtained by scanning the pinhole in the x-y directions across the path of the beam using the single pixel detector along the z direction. In the imaging step, the process is repeated for a complicated object along only a single plane. This new technique is named coded aperture scanning holography. Different types of samples, such as two pinholes; a number 3 USAF object; a cross shaped object on a barium fluoride substrate; and a silk sample are used for the demonstration of both image recovery and 3D imaging applications.

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