Company Filing History:
Years Active: 2024-2025
Title: Zhensong Wei: Innovator in Digital Staining Technologies
Introduction
Zhensong Wei is a prominent inventor based in Los Angeles, CA, known for his groundbreaking work in the field of digital staining technologies. He has been awarded 3 patents for his innovative methods that significantly enhance the efficiency of microscopic imaging in pathology and histology.
Latest Patents
Wei's latest patents include a "Method and system for digital staining of label-free fluorescence images using deep learning." This invention introduces a deep learning-based digital staining method that allows for the creation of virtually-stained microscopic images from label-free samples. The system utilizes autofluorescence images acquired through a fluorescent microscope, enabling histopathologists to analyze unlabeled tissue samples without the need for traditional histochemical staining processes. This innovation not only saves time and costs but also simplifies tissue preparation.
Another notable patent is the "Method and system for digital staining of label-free phase images using deep learning." This method provides a label-free approach to create virtually-stained microscopic images from quantitative phase images of label-free samples. Similar to his previous invention, this method bypasses the standard histochemical staining process, further streamlining the workflow in pathology and histology.
Career Highlights
Zhensong Wei is affiliated with the University of California, where he continues to contribute to advancements in medical imaging technologies. His work has garnered attention for its potential to revolutionize the way tissue samples are prepared and analyzed in clinical settings.
Collaborations
Wei collaborates with esteemed colleagues such as Aydogan Ozcan and Yair Rivenson, who share his vision of improving imaging techniques through innovative technologies.
Conclusion
Zhensong Wei's contributions to digital staining technologies represent a significant advancement in the field of pathology and histology. His innovative methods not only enhance the efficiency of tissue analysis but also pave the way for future developments in medical imaging.