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Optical tomography measurements and reconstructions of a multiple-scattering 3d-printed microphantom

Authors: Krauze, Wojciech; Kuś, Arkadiusz; Ziemczonok, Michał; Kujawińska, Małgorzata; Haimowitz, Max; Chowdhury, Schwetadwip;

Optical tomography measurements and reconstructions of a multiple-scattering 3d-printed microphantom

Abstract

This dataset contains 2 sets of measurements of a 3d-printed microphantom, carried out with optical diffraction tomography system at Warsaw University of Technology. The measurements are conducted for 2 different wavelengths: 633nm and 835nm. Also, tomographic reconstructions of these datasets are shown. The reconstructions were computed with 3 algorithms: GPSC [1], MSBP-I [2] and MSBP-E [3]. Additionally, model of the 3D-printed microphantom is given. All files are *.mat files. In the reconstruction files there are 4 variables: REC - reconstruction matrix with information about 3D refractive index values in the microphantom dx - sample size in the reconstruction in x-y direction dz - sample size in the reconstruction in z direction (if not given, dz=dx) niter - number of iterations that were computed to generate the reconstruction The variables in the sinogram files are: dx - sample size in tomographic projections lambda - wavelength M - magnification in the optical system n_immersion - refractive index of the immersion medium NA - numerical aperture of the optical system rayXY - x-y coordinates of vectors representing illumination directions from which tomographic projections were acquired SINOamp - amplitude distribution of tomographic projections SINOph - phase distributions of tomographic projections The variables in the phantom model files are: dx - sample size n_immersion - refractive index of simulated immersion n_phantom - refractive index of the phantom model [1] W. Krauze, “Optical diffraction tomography with finite object support for the minimization of missing cone artifacts,”277 Biomed. optics express 11, 1919–1926 (2020) [2] S. Chowdhury, M. Chen, R. Eckert, D. Ren, F. Wu, N. Repina, and L. Waller, “High-resolution 3D refractive index292 microscopy of multiple-scattering samples from intensity images,” Optica 6, 1211 (2019). [3] U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, “Learning approach288 to optical tomography,” Optica 2, 517 (2015).

{"references": ["W. Krauze, \"Optical diffraction tomography with finite object support for the minimization of missing cone artifacts,\"277 Biomed. optics express 11, 1919\u20131926 (2020).", "S. Chowdhury, M. Chen, R. Eckert, D. Ren, F. Wu, N. Repina, and L. Waller, \"High-resolution 3D refractive index292 microscopy of multiple-scattering samples from intensity images,\" Optica 6, 1211 (2019).", "U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, \"Learning approach288 to optical tomography,\" Optica 2, 517 (2015)."]}

Keywords

optical diffraction tomography, multiple-scattering, 3d-printing, two-photon polymerization, quantitative phase imaging

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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