Xinyue Li

Title: Innovations of Xinyue Li in Immunocytochemistry Image Processing.

Introduction

Xinyue Li is an accomplished inventor based in Hong Kong, CN. She has made significant contributions to the field of machine learning and immunocytochemistry. Her innovative work focuses on enhancing image processing techniques, which are crucial for advancing research in various scientific domains.

Latest Patents

Xinyue Li holds a patent titled "Systems and methods for preprocessing immunocytochemistry images for machine learning image-to-image translation." This patent describes methods and systems for pre-processing immunocytochemistry images, which include receiving paired positive and negative multi-protein images. The pre-processing method involves segmenting stains of the paired multi-protein images and labeling each image pixel corresponding to a cell. Furthermore, it translates image pixel information into tabular form to generate a table of cell coordinates and geometrical characteristics for each of the paired multi-protein images. The method also includes generating two cell-paired tables based on Euclidean distance-based pairing prior to input for machine learning.

Career Highlights

Xinyue Li is affiliated with the City University of Hong Kong, where she continues to push the boundaries of research in her field. Her work has garnered attention for its innovative approach to image processing, which is essential for machine learning applications in biological research.

Collaborations

Xinyue collaborates with Irfan Ahmed, who is also involved in similar research areas. Their partnership enhances the quality and scope of their projects, contributing to advancements in the field.

Conclusion

Xinyue Li's contributions to immunocytochemistry image processing through her innovative patent demonstrate her commitment to advancing scientific research. Her work not only enhances the capabilities of machine learning but also paves the way for future innovations in the field.