Data and software code for "Endothelial cells stably infected with recombinant Kaposi’s sarcoma-associated herpesvirus display distinct viscoelastic and morphological properties"
收藏DataCite Commons2025-04-23 更新2025-04-17 收录
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https://zivahub.uct.ac.za/articles/dataset/Data_and_software_code_for_Vascular_and_lymphatic_endothelial_cells_stably_infected_with_recombinant_Kaposi_s_sarcoma-associated_herpesvirus_display_distinct_viscoelastic_and_morphological_properties_/27043813/3
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Data and code supporting work presented in article.File: 01_preprocessing_macro.ijmDescription: A simplified macro outlining time-lapse image pre-processing prior to mitochondria-tracking analysis in TrackMate (Image J). Preprocessed files are saved in .tif format.<br>------------------------------------------------------------------------------------------------------------------File: 02_compute_logplot_msd.pyDescription: Python code to import csv track files, compute i-msd and e-msd (using trackpy), and plot 2 sets of data at a time (e.g. HuARLRT2 vs HuALRT2-rKSHV) of e-msd and bulk msd on the same logarithmic axis, and save plot in high resolution of 300 dpi.<br>------------------------------------------------------------------------------------------------------------------File: 03_particle_tracking_data.xlsxDescription: e-msd and powerlaw exponent data of all 4 cell lines used in the study, i.e. HuARLT2, HuARLT2-rKSHV, LEC, & LEC-rKSHV over 37.6s. MSDs are fitted between 0 and 2 s of lag time.Contents:sheet 1 (data_description)sheet 2 (MSD for Hu and HuKS)sheet 3 (MSD for LEC and LECKS)sheet 4 (MSD powerlaw exponents)------------------------------------------------------------------------------------------------------------------<br>File: 04_fit_powerlaw_plot.pyDescription: Function to compute the MSD powerlaw exponent for each eMSD between 0-2s, keeping only good fits (R^2>0.7), and plot in log axes. Two sets of data can be plotted at a time, and plot saved in high resolution of 300 dpi.<br>------------------------------------------------------------------------------------------------------------------File: 05_cell_morphology_data.xlsxDescription: Cell morpholopgy data of the aspect ratio (AR), roundness (R) and Circularity (C)computed using the PHANTAST plugin and FIJI.Contents:sheet 1 (data_description)sheet 2 (Aspect ratio measurements for all 4 cell lines)sheet 3 (Roundness values for all 4 cell lines)sheet 4 (Circularity values for all 4 cells lines)------------------------------------------------------------------------------------------------------------------File: 06_compute_morpho_diff.pyDescription: Function to compute relative differences of cell morphology parameters aspect ratio, circularity, and roundness, and plot the data.------------------------------------------------------------------------------------------------------------------
提供机构:
University of Cape Town
创建时间:
2024-11-21



