Deep-tissue label-free quantitative optical tomography

<p>Deep-tissue label-free quantitative optical tomography</p> <p>Jelle van der Horst, Anna K. Trull, and Jeroen Kalkman</p> <p>The data sets, software, and figures accompany the publication:</p> <p>&quot;Deep-tissue label-free quantitative optical tomography&quot;, Optica 7, 1682 (2020)&nbsp; <a href="https://doi.org/10.1364/OPTICA.397549">https://doi.org/10.1364/OPTICA.397549</a></p> <ul> <li>calc_hilbert_cor.m, corrects OCT data for dispersion</li> <li>cascade_measurement.m, analysis of OCT reference data&lt;\li&gt;</li> <li>data_A2_polyfit_v1_slice_0198.zip, Peak fitted data for all 200 slices (200 files)&lt;\li&gt;</li> <li>Ex18-11-01B, spectral-domain OCT reference data&lt;\li&gt;</li> <li>Ex18-11-01D, spectral-domain OCT reference data for background&lt;\li&gt;</li> <li>Ex18-11-01E_sweep_0001.dat, Reference power distribution of a sweep&lt;\li&gt;</li> <li>loadframes_refdata.m, load spectral-domain OCT data&lt;\li&gt;</li> <li>manual_COR_correction.m, perform manual center of rotation correction&lt;\li&gt;</li> <li>run_frame_analysis_polyfit.m, fit spatial-domain OCT data&lt;\li&gt;</li> <li>run_tomo_ocpt.m, main MATLAB file for the reconstruction &lt;\li&gt;</li> <li>shift_correction_galvo.m, correction for galvo offset&lt;\li&gt;</li> </ul>