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).<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组高低分辨率图像对，涵盖四类生物结构：网格蛋白包被凹陷（Clathrin-Coated Pits, CCPs）、内质网（Endoplasmic Reticulum, ER）、微管（Microtubules, MTs）、纤维状肌动蛋白（Filamentous actin, F-actin），九种信号水平（15至600个平均光子数）以及两种放大因子（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））。该数据集现已免费开放，旨在为单幅生物图像超分辨率算法及先进结构照明显微重建算法的研发群体提供高质量的数据支持。如需了解BioSR的更多详情，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》，其DOI编号为10.1038/s41592-020-01048-5。