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

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dc.contributor.authorNg, Soon Hock
dc.contributor.authorAnand, Vijayakumar
dc.contributor.authorHan, Molong
dc.contributor.authorSmith, Daniel
dc.contributor.authorMaksimovic, Jovan
dc.contributor.authorKatkus, Tomas
dc.contributor.authorKlein, Annaleise
dc.contributor.authorBambery, Keith
dc.contributor.authorTobin, Mark J.
dc.contributor.authorVongsvivut, Jitraporn
dc.contributor.authorJuodkazis, Saulius
dc.date.accessioned2024-04-04T12:47:49Z
dc.date.available2024-04-04T12:47:49Z
dc.date.issued2023
dc.description.abstractThe 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 36× 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.
dc.identifier.urihttps://doi.org/10.3390/app132312948
dc.identifier.urihttps://hdl.handle.net/10062/97770
dc.language.isoen
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/857627///CIPHR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Estoniaen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ee/
dc.subjectcomputational imaging
dc.subjectholography
dc.subjectLucy–Richardson–Rosen algorithm
dc.subjectmicroscopy
dc.subjectspectroscopy
dc.subjectimage processing
dc.subjectnon-linear reconstruction
dc.subjectLucy–Richardson algorithm
dc.subjectmid-infrared imaging
dc.subjectFourier transform infrared microspectroscopy
dc.titleComputational Imaging at the Infrared Beamline of the Australian Synchrotron Using the Lucy–Richardson–Rosen Algorithm
dc.typeinfo:eu-repo/semantics/articleen

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