2026-10-14T15:59:55Z https://www.scidb.cn/oai

10.57760/sciencedb.15988 2024-02-08T22:26:24Z

2024-02-08 Analyzing the factors affecting virus infection by quantitative single-particle analysis doi:10.57760/sciencedb.15988 en Line profiles showing distributions of the QD and Syto signals were acquired with Image Pro Plus 3D reconstruction of cells was observed using Vaa3D software The number of viruses were obtained from 3D reconstruction images by identifying and counting the fluorescence spots representing viruses with ImageJ software The fluorescence intensity of viruses was observed from raw images with ImageJ software by identifying reproducing viruses and aligning corresponding cellular endogenous structures in each frame Regions of interest (ROIs) were used to perform the analysis Image Pro Plus software (Media Cybernetics) was used to align the coordinates and intensities of the points representing the virus in each frame, and to reconstruct integral trajectories of virus within the focal plane from the original image The speed and display of trajectories were also observed from Image Pro Plus Cell flow cytometry data was analyzed by Flow Jo software The data was expressed as mean ± standard deviation (SD). Student's t-tests were conducted using the original, normalized dataset for all statistical analyses.The images were obtained by GraphPad Prism. The trajectory diagram in Figure 4 was shown by Origin. virus infection; quantitative single-particle analysis; Semliki Forest virus; Japanese encephalitis virus; influenza A virus Hongwu Tang Yining Hou PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank