Optical tomography measurements and reconstructions of a multiple-scattering 3d-printed microphantom
Authors/Creators
- 1. Warsaw University of Technology, Institute of Micromechanics and Photonics
- 2. University of Texas at Austin, Department of Electrical Engineering
Description
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).
Files
Files
(1.5 GB)
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Additional details
References
- W. Krauze, "Optical diffraction tomography with finite object support for the minimization of missing cone artifacts,"277 Biomed. optics express 11, 1919–1926 (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).