Jingwen Zhu

Title: Innovations of Jingwen Zhu

Introduction

Jingwen Zhu is a prominent inventor based in San Mateo, CA (US). He has made significant contributions to the field of image processing and cell annotation, holding a total of 4 patents. His work focuses on developing advanced methods and systems that enhance the accuracy and efficiency of cell image analysis.

Latest Patents

Jingwen Zhu's latest patents include a "Method and system for cell annotation with adaptive incremental learning." This invention discloses a method that involves receiving new cell images for detection, extracting features, and predicting the closest class for cell identification. The process generates a likelihood map and segments individual cells for machine annotation. Another notable patent is the "Method and system for multi-scale cell image segmentation using multiple parallel convolutional neural networks." This system utilizes multiple convolutional neural networks (CNNs) to classify image patches of varying sizes, enhancing the classification accuracy for background, foreground, and edge detection.

Career Highlights

Jingwen Zhu is currently employed at Konica Minolta Laboratory U.S.A., Inc., where he continues to innovate in the field of image processing. His work has been instrumental in advancing technologies that support cell analysis and classification.

Collaborations

Jingwen collaborates with esteemed colleagues such as Yongmian Zhang and Haisong Gu, contributing to a dynamic research environment that fosters innovation and development.

Conclusion

Jingwen Zhu's contributions to the field of image processing and cell annotation are noteworthy. His innovative patents and collaborative efforts continue to push the boundaries of technology in this vital area of research.