Human somatic label-free bright-field cell images

This cell images dataset is collected using an ultrafast imaging system known as asymmetric-detection time-stretch optical microscopy (ATOM) for training and evaluation. This novel imaging approach can achieve label-free and high-contrast flow imaging with good cellular resolution images at a very high speed. Each acquired image belongs to one of the four classes: THP1, MCF7, MB231 and PBMC. Our objective is to complement it with a high-speed classification system that is sensitive to the representations of different cell types, and meanwhile should ignore the noise caused by varying experimental settings. We have at our disposal two collections of images captured separately at different instances. Dataset_1 contains over 8,000 samples of three types of cells (MCF7, PBMC, and THP1), while the other one Dataset_2 is significantly larger, with over 900,000 cell images of MB231, MCF7, and THP1 cells.

本细胞图像数据集采用一种名为非对称检测时间扩展光学显微镜（ATOM）的超快速成像系统进行收集，旨在用于训练与评估。该新颖的成像方法能够实现无标签且对比度高的流动成像，同时提供良好的细胞分辨率图像，并具备极高的成像速度。每一张获取的图像均归属于以下四个类别之一：THP1、MCF7、MB231以及PBMC。我们的目标是补充一个对细胞类型表征敏感的高速分类系统，同时应忽略由实验设置变化引起的噪声。我们拥有两组在不同时间点独立捕获的图像集合。Dataset_1 包含超过 8,000 个三种细胞类型（MCF7、PBMC 和 THP1）的样本，而另一组 Dataset_2 则规模更为庞大，包含超过 900,000 张 MB231、MCF7 和 THP1 细胞的图像。