New Progress in Scientific Research by Tsinghua Shenzhen International Graduate School (SIGS)
SHENZHEN, China, Nov. 17, 2022 /PRNewswire/ -- Professors Qionghai Dai (from Tsinghua University) and Haoqian Wang's (from the Division of Information Science and Technology at Tsinghua Shenzhen International Graduate School) research teams integrated their self-supervised denoising framework with fluorescence microscopes for real-time suppression of photon shot noise.
- SHENZHEN, China, Nov. 17, 2022 /PRNewswire/ -- Professors Qionghai Dai (from Tsinghua University) and Haoqian Wang's (from the Division of Information Science and Technology at Tsinghua Shenzhen International Graduate School) research teams integrated their self-supervised denoising framework with fluorescence microscopes for real-time suppression of photon shot noise.
- Their work provides a new solution to the photon-limited challenge of fluorescence microscopy.
- The conference covers topics including deep learning, computer vision, large-scale machine learning, learning theory, optimization, sparse theory and many other sub-fields.
- As a significant graduate training base for Tsinghua University in electronic information, it offers 4 doctoral programs and 6 master's programs.