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

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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