BioSR: a biological image dataset for super-resolution microscopy

BioSR is a biological image dataset for super-resolution microscopy, currently including more than 2200 pairs of low-and-high resolution images covering four biology structures (CCPs, ER, MTs, F-actin), nine signal levels (15-600 average photon count), and two upscaling-factors (linear SIM and non-linear SIM). BioSR is now freely available, aiming to provide a high-quality dataset for the community of single bio-image super-resolution algorithm and advanced SIM reconstruction algorithm developers. For more information about BioSR, please see our Nature Methods manuscript, "Evaluation and development of deep neural networks for image super-resolution in optical microscopy" (DOI: 10.1038/s41592-020-01048-5).
Update 2022.10.04
Add <em>DataSet of rDL-SRM (Zenodo Link).xlsx</em> file, which includes descriptions and Zenodo links of BioSR+ (data extension of BioSR) and other data used in our Nature Biotechnology paper "Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes" (DOI: 10.1038/s41587-022-01471-3 ).<br>

BioSR是一款面向超分辨率显微技术的生物图像数据集，目前包含超过2200对高低分辨率图像，涵盖四类生物结构（包被小窝(CCPs)、内质网(ER)、微管(MTs)、纤维状肌动蛋白(F-actin)）、九个信号强度等级（平均光子计数范围15至600）以及两种超分辨率放大所采用的成像模式：线性结构照明显微镜(linear SIM)与非线性结构照明显微镜(non-linear SIM)。BioSR现已免费对外开放，旨在为生物图像单帧超分辨率算法与先进结构照明显微镜重建算法的研发群体提供高质量数据集支持。如需了解BioSR的更多信息，请参阅我们发表于《Nature Methods》的论文"Evaluation and development of deep neural networks for image super-resolution in optical microscopy"（DOI: 10.1038/s41592-020-01048-5）。
2022年10月4日更新：新增<em>DataSet of rDL-SRM (Zenodo 链接).xlsx</em>文件，该文件包含BioSR扩展数据集BioSR+的相关说明，以及我们发表于《Nature Biotechnology》的论文"Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes"（DOI: 10.1038/s41587-022-01471-3）中使用的其他数据集的Zenodo链接。