结构光超分辨图像重建算法数据集

这是李栋课题组使用自主搭建的GI-SIM显微镜技术以798幅每秒的采集速度采集细胞中内质网动态特性的原始荧光图像，数据采集于2017年10月。“raw_f1-180.tif”文件是采集到的原始文件，“raw_f1-180_SIMILR.tif”是原始数据的按照插值重建算法的要求做倍增后的实验结果。

This raw fluorescence imaging dataset captures the dynamic characteristics of the endoplasmic reticulum in cells, collected by Li Dong's research group using their self-built GI-SIM microscopy system at an acquisition speed of 798 frames per second. The data was collected in October 2017. The file "raw_f1-180.tif" is the original raw collected data, while "raw_f1-180_SIMILR.tif" is the experimental result generated by doubling the original data in accordance with the requirements of the interpolation reconstruction algorithm.

搜集汇总

背景与挑战

背景概述

该数据集由李栋课题组使用自主搭建的GI-SIM显微镜技术采集，包含798幅每秒的内质网动态特性原始荧光图像，数据采集于2017年10月。数据集包含原始文件和插值重建后的实验结果，总数据量为88.4MB，文件数为2个。