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For the Inventor, By the Inventor

Los Angeles, CA, United States of America

Yair Rivenson

USPTO Granted Patents = 17 

 

Average Co-Inventor Count = 4.2

ph-index = 4

Forward Citations = 37(Granted Patents)


Company Filing History:

goldMedal17 out of 15,475 
 
University of California
 patents

Years Active: 2022-2025

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17 patents (USPTO):Explore Patents
1. 12474261 - Pulse shaping using diffractive network device with modular diffractive layers (2025-11-18),
2. 12443838 - Diffractive deep neural networks with differential and class-specific detection (2025-10-14),
3. 12430554 - Device and method for neural-network based on-chip spectroscopy using a plasmonic encoder (2025-09-30),
4. 12327362 - Method and system for digital staining of label-free fluorescence images using deep learning (2025-06-10),
5. 12300006 - Method and system for digital staining of microscopy images using deep learning (2025-05-13),
6. 12270068 - Systems and methods for the early detection and classification of live microorganisms using time-lapse coherent imaging and deep learning (2025-04-08),
7. 12190478 - Systems and methods for deep learning microscopy (2025-01-07),
8. 12106552 - Method and system for digital staining of label-free phase images using deep learning (2024-10-01),
9. 12086717 - Devices and methods employing optical-based machine learning using diffractive deep neural networks (2024-09-10),
10. 12020165 - System and method for transforming holographic microscopy images to microscopy images of various modalities (2024-06-25),
11. 11946854 - Systems and methods for two-dimensional fluorescence wave propagation onto surfaces using deep learning (2024-04-02),
12. 11915360 - Volumetric microscopy methods and systems using recurrent neural networks (2024-02-27),
13. 11893739 - Method and system for digital staining of label-free fluorescence images using deep learning (2024-02-06),
14. 11694082 - Devices and methods employing optical-based machine learning using diffractive deep neural networks (2023-07-04),
15. 11514325 - Method and system for phase recovery and holographic image reconstruction using a neural network (2022-11-29),

Title: Yair Rivenson: Innovator in Digital Staining Technologies

Introduction

Yair Rivenson is an accomplished inventor based in Los Angeles, California, renowned for his groundbreaking contributions to the field of digital staining technologies. With 14 patents to his name, his innovations have made significant impacts in pathology and histology, particularly in creating effective solutions for the analysis of tissue samples.

Latest Patents

Among Rivenson's latest patents is a method and system for digital staining of label-free fluorescence images using deep learning. This pioneering approach allows for the generation of digitally stained microscopic images from unstained samples, relying on autofluorescence images procured through fluorescence microscopy. The system holds particular significance for histopathologists by streamlining the preparation process, eliminating the need for traditional histochemical staining, and thereby offering both time and cost efficiency.

Additionally, Rivenson has developed a digital staining method that also uses fluorescence lifetime imaging (FLIM). This system employs deep learning to produce stained images of label-free samples, enhancing the clarity and detail of microscopic images through advanced autofocusing techniques.

Career Highlights

Yair Rivenson's career at the University of California has been marked by a series of innovative projects that push the boundaries of technology in microscopy and digital imaging. His dedication to transforming conventional methods through machine learning and neural networks has not only advanced scientific understanding but has also improved practical applications in medical diagnostics.

Collaborations

Throughout his career, Rivenson has collaborated with distinguished colleagues such as Aydogan Ozcan and Hongda Wang. Together, they have worked on integrating cutting-edge technologies in developing new methodologies that enhance the accuracy and efficiency of microscopic imaging in research and clinical settings.

Conclusion

Yair Rivenson is a pivotal figure in the realm of digital staining and imaging technologies. His inventive methods significantly alleviate the complexities traditionally involved in tissue analysis, benefitting researchers and medical professionals alike. As innovations in this field continue to evolve, Rivenson remains at the forefront of transforming how histopathology and microscopy are conducted, making lasting contributions to science and medicine.

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