1 code implementation • 1 Nov 2023 • Xingru Huang, Yihao Guo, Jian Huang, Zhi Li, Tianyun Zhang, Kunyan Cai, Gaopeng Huang, WenHao Chen, Zhaoyang Xu, Liangqiong Qu, Ji Hu, Tinyu Wang, Shaowei Jiang, Chenggang Yan, Yaoqi Sun, Xin Ye, Yaqi Wang
Macular hole diagnosis and treatment rely heavily on spatial and quantitative data, yet the scarcity of such data has impeded the progress of deep learning techniques for effective segmentation and real-time 3D reconstruction.
no code implementations • 14 Mar 2023 • Lucas Kreiss, Shaowei Jiang, Xiang Li, Shiqi Xu, Kevin C. Zhou, Alexander Mühlberg, Kyung Chul Lee, Kanghyun Kim, Amey Chaware, Michael Ando, Laura Barisoni, Seung Ah Lee, Guoan Zheng, Kyle Lafata, Oliver Friedrich, Roarke Horstmeyer
Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental research and biotechnology.
no code implementations • 28 Sep 2021 • Shaowei Jiang, Chengfei Guo, Patrick Hu, Derek Hu, Pengming Song, Tianbo Wang, Zichao Bian, Zibang Zhang, Guoan Zheng
We show that a whole slide image of a blood smear with a 120-mm^2 field of view can be acquired in 18 seconds.
no code implementations • 31 May 2021 • Xuyang Chang, Liheng Bian, Shaowei Jiang, Guoan Zheng, Jun Zhang
Complex-domain imaging has emerged as a valuable technique for investigating weak-scattered samples.
no code implementations • 19 Sep 2019 • Yongbing Zhang, Yangzhe Liu, Xiu Li, Shaowei Jiang, Krishna Dixit, Xinfeng Zhang, Xiangyang Ji
Since the optimal parameters of the PgNN can be derived by minimizing the difference between the model-generated images and real captured angle-varied images corresponding to the same scene, the proposed PgNN can get rid of the problem of massive training data as in traditional supervised methods.
no code implementations • 14 Dec 2018 • Shaowei Jiang, Jun Liao, Zichao Bian, Pengming Song, Garrett Soler, Kazunori Hoshino, Guoan Zheng
In the reported approach, we project illumination patterns at a tilted angle with respect to the detection optics.
no code implementations • 9 Mar 2018 • Shaowei Jiang, Kaikai Guo, Jun Liao, Guoan Zheng
Here we model the Fourier ptychographic forward imaging process using a convolution neural network (CNN) and recover the complex object information in the network training process.