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

Description

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)  

Resources

Name Format Description Link
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7326417
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7326417
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7326417
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7326417
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7326417
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7326417
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7326417

Tags

  • refractive-index
  • quantitative-phase-imaging
  • tomographic-phase-microscopy
  • biological-cell-analysis

Topics

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