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

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]. All files are *.mat files. In the files there are 5 variables: REC - reconstruction matrix with information about 3D refractive index values in the cells dx - sample size RI2D - values of mean refractive index calculated from 2D lateral cross-sections RI3D - volumetric mean refractive index mask - binary mask of the cell [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)