Xueli Chen

Title: Innovations of Xueli Chen: Pioneering Pathological Analysis

Introduction

Xueli Chen is an accomplished inventor based in Xi'an, China. He has made significant contributions to the field of medical imaging and analysis, holding a total of 5 patents. His work focuses on enhancing the capabilities of pathological section analysis through innovative technologies.

Latest Patents

One of Xueli Chen's latest patents is a "Pathological section analyzer with large field of view, high throughput and high resolution." This advanced analyzer features an image collector that captures a set of computing microscopic images of pathological section samples. It employs a data preprocessing circuit that iteratively updates these images using a multi-height phase recovery algorithm to produce a low-resolution reconstructed image. An image super-resolution circuit then enhances this image to high resolution, while an image analysis circuit automatically analyzes the high-resolution image based on various tasks, providing corresponding auxiliary diagnosis results. This analyzer's imaging visual field is hundreds of times greater than that of traditional optical microscopes, simplifying the analysis process of unstained pathological sections through deep learning networks.

Another notable patent is the "Magnetic particle imaging reconstruction method based on neural network constrained by forward model." This method involves obtaining a system matrix through calibration and measuring voltage data generated by a specimen. The collected data is transformed into the frequency domain using Fourier transform, and frequency features are filtered by a signal-to-noise ratio threshold. A reconstruction network is built using Pytorch to map one-dimensional voltage data to a multi-dimensional magnetic particle concentration distribution. The system matrix serves as the forward model for magnetic particle imaging, and simulated voltage data is generated based on the reconstructed distribution. The method includes a loss function for network parameter updating, incorporating a total variation regularization term to achieve optimal reconstruction results.

Career Highlights

Xueli Chen is affiliated with Xidian University, where he continues to advance research in medical imaging technologies. His innovative approaches have garnered attention in the scientific community, contributing to the evolution of pathological analysis.

Collaborations

Xueli Chen collaborates with esteemed colleagues, including Duofang Chen and Shouping Zhu, who contribute to his research endeavors. Their combined expertise enhances the development of cutting-edge technologies in the field.

Conclusion

Xueli Chen's contributions to medical imaging and analysis through his innovative patents demonstrate his commitment to advancing healthcare technology. His work