A label-free method to track individuals and lineages of budding cells

Single-cell microscopy data and images with manually curated annotations for "A label-free method to track individuals and lineages of budding cells" by Pietsch, Muñoz, Adjavon, Farquhar, Clark and Swain. The data come from fluorescence microscopy experiments where yeast, with fluorescence tags on Sfp1, Nhp6A, or Myo1, were grown in microfluidics devices and subject to changes in nutrients. Cells were segmented and tracked by the BABY algorithm described in the paper. Also included are manually curated image annotations used to train and benchmark both segmentation and tracking performance of the BABY algorithm. Source code for the algorithm is available at https://git.ecdf.ed.ac.uk/swain-lab/baby.

Pietsch、Muñoz、Adjavon、Farquhar、Clark及Swain所著《一种无标记追踪出芽细胞个体与谱系的方法》的单细胞显微数据与图像，含有人工整理的注释。这些数据源自荧光显微实验（fluorescence microscopy experiments），实验中带有Sfp1、Nhp6A或Myo1荧光标签的酵母在微流控装置（microfluidics devices）中培养，并经受营养条件变化。细胞的分割（segmentation）与追踪（tracking）由论文中描述的BABY算法完成。此外还包含人工整理的图像注释，用于训练BABY算法并对其分割与追踪性能进行基准测试（benchmark）。该算法的源代码可在https://git.ecdf.ed.ac.uk/swain-lab/baby获取。