Towards true volumetric refractive index investigation in tomographic phase microscopy at cellular level - dataset

<p>This dataset contains 6 files with reconstrucions of 3 different types of cells (SH-SY5Y neuroblastoma cells, A549 adenocarcinoma lung cells and HL-60 white blood cells), retrieved from optical diffraction tomography system measurements carried out at Warsaw University of Technology. The measurements were reconstructued with 2 different algorithms: direct inversion algorithm (DI) and Gerchberg-Papoulis algorithm with finite object support regularization (GPSC) [1].&nbsp;</p> <p>All files are *.mat files.</p> <p>In the files there are 5 variables:</p> <p>REC - reconstruction matrix with information about 3D refractive index values in the cells<br> dx - sample size&nbsp;<br> RI2D - values of mean refractive index calculated from 2D lateral cross-sections<br> RI3D - volumetric mean refractive index<br> mask - binary mask of the cell</p> <p><br> [1] W. Krauze, &ldquo;Optical diffraction tomography with finite object support for the minimization of missing cone artifacts,&rdquo;277<br> Biomed. optics express 11, 1919&ndash;1926 (2020)<br> &nbsp;</p>