DeepS: a Web Server for Image Optical Sectioning and Super Resolution Microscopy Based on a Deep Learning Framework.
Bioinformatics(2021)
摘要
MOTIVATION:Microscopy technology plays important roles in many biological research fields. Solvent-cleared brain high-resolution (HR) 3D image reconstruction is an important microscopy application. However, 3D microscopy image generation is time-consuming and expensive. Therefore, we have developed a deep learning framework (DeepS) for both image optical sectioning and super resolution microscopy.RESULTS:Using DeepS to perform super resolution solvent-cleared mouse brain microscopy 3D image yields improved performance in comparison with the standard image processing workflow. We have also developed a web server to allow online usage of DeepS. Users can train their own models with only one pair of training images using the transfer learning function of the web server.AVAILABILITYAND IMPLEMENTATION:http://deeps.cibr.ac.cn.SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn