Recently, Xu Tingfa’s research team of the School of Optics and Photonics, BIT, has made new progress in the field of telepathology imaging. The relevant research achievements (paper) entitled Edge-enabled Anti-noise Telepathology Imaging Reconstruction Technology in Harsh Environment were published onIEEE Network, the international top miscellaneous journal in the field of computer and information system.IEEE Networkusually employs research results of computer, 5G communication, artificial intelligence, and edge computing, etc., whose JCR (Journal Citation Reports) belongs to Zone 1, with 10.294 impact factor. The first author of this paper is Zhang Jizhou, a postdoctor of BIT, and the corresponding author is Prof. Xu Tingfa.

Telepathology imaging technology is the bottleneck of future intelligent medical and other application fields. In the traditional telepathology imaging system, high-power microscopic imaging and mechanical scanning are usually used to obtain images of full pathological sections. High-cost, slow-speed and low communication efficiency are the technical bottlenecks and difficulties of the system; In view of these, Prof. Xu’s team has proposed a Fourier laminated imaging and edge-enabled pathological microscopic imaging system that generates neural networks to achieve telepathology detection and diagnosis and treatment.

Fig. 1 Edge-enabled pathological imaging and diagnosis and treatment system

Fig. 2 Pathological detection reconstruction results

The system utilizes active lighting of programmable lighting modules to replace mechanical scanning, and combines the generation of countermeasures neural network to achieve multi-mode and high-resolution pathological image reconstruction, which reduces the cost and improves the imaging speed; It realizes the organic combination of edge computing node and network communication node, and improves the efficiency of data transmission and communication. This research is the first time to combine Fourier laminated micro -computing imaging with edge computing, providing a new idea for telepathology imaging and diagnosis and treatment.

Paper details:

Zhang J, Li J, Sun H, et al. Edge-Enabled Anti-Noise Telepathology Imaging Reconstruction Technology in Harsh Environments [J]. IEEE Network, 2022, 36(4): 92-99.

https://ieeexplore.ieee.org/document/9919740

Profile of the Authors:

Zhang Jizhou, a postdoctor in the Postdoctoral Station of the School of Optics and Photonics, BIT, whose supervisor is Prof. Xu Tingfa, and his research direction is micro-computing imaging and deep learning. He has published 28 academic papers, with 9 as first author, which are published in high-level journals or conferences includingIEEE Network,Optics Express, andRemote Sensing, etc. He also has 6 invention patents and 3 software copyrights. At the same time, Zhang Jizhou has served as reviewer of SCI journals such asIEEE TNNLS,Photonics Research,Optics Letters,Optics Express, andBiomedical Optics Express, etc. for times. During his postdoctoral period, he has been carrying out scientific research and engineering development in the Beijing University of Technology Chongqing Innovation Center. During his stay, he was supported by the China Post-doctoral Innovation Talent Support Program, and won the prize of “Chongqing Talents-Innovation and Entrepreneurship Demonstration Team” and the innovation award of the Mingyue Lake International Innovation and Entrepreneurship Competition.

Prof. Xu Tingfa, doctoral supervisor, responsible professor of “Optical Engineering” (first-level key discipline), Deputy Director of the Key Laboratory of Photoelectric Imaging Technology and Systems of the Ministry of Education, and Director of Intelligent and Big Data Technology Laboratory of Beijing University of Technology Chongqing Innovation Center. In recent years, he has led his research team to continuously deepen research in the direction of photoelectric imaging detection and recognition, computational imaging and medical photoelectric imaging. Xu once presided over and undertook more than 40 major scientific research instrument development projects of the National Natural Science Foundation of China. Besides, he has published 135 academic papers in international and domestic journals, among which more than 90 were included in SCI/EI. As the first inventor, he has applied for 45 national invention patents, and 15 have been authorized and publicized. Prof. Xu has won 3 provincial and ministerial awards including the second prize of scientific and technological progress. He once guided the graduate students to obtain excellent doctoral dissertations of the Chinese Society of Image Graphics, two of those won the Wang Daheng University Student Optics Award, and another two of which won the National Top 100 of the National Optical and Optical Engineering Doctoral Academic League and other honorary titles.