Yao Nie

This inventor holds 25 USPTO granted patents and 18 published patent applications, plus 1 CIPO patent and 9 EPO patents, primarily in Digital Pathology. Top assignees: Ventana Medical Systems, Inc., Genentech, Inc., Hoffmann-La Roche Inc.. Active years: 2011-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yao Nie. Retrieved from https://idiyas.com/inventor/yao-nie

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 25 (Patent Applications = 18)

% Patents Active = 80.0

CIPO Patents = 1

EPO Patents = 9 (Patent Applications = 24)

Average Co-Inventor Count = 2.3

ph-index = 3

Forward Citations = 29(Granted Patents)

Company Filing History:

24 out of 548

Ventana Medical Systems, Inc.

Hoffmann-La Roche Inc.

where one patent can have more than one assignee

Years Active: 2011-2026

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Areas of Expertise:

Generative Adversarial Network

Digital Pathology

Image Segmentation

Immunohistochemistry

Machine Learning

Cell Localization

Auto-Fluorescent Artifacts

Histological Stains

Nuclei Detection

Few-Shot Learning

Image Enhancement

Color Unmixing

25 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12731250 - Synthesis singleplex from multiplex brightfield imaging using generative adversarial network (2026-09-08),

2. 12694972 - Predicting actionable mutations from digital pathology images (2026-07-28),

3. 12675880 - Transformation of histochemically stained images into synthetic immunohistochemistry (IHC) images (2026-07-07),

4. 12597137 - Digital synthesis of histological stains using multiplexed immunofluorescence imaging (2026-04-07),

5. 12584859 - Identifying auto-fluorescent artifacts in a multiplexed immunofluorescent image (2026-03-24),

6. 12525040 - Machine learning models for cell localization and classification learned using repel coding (2026-01-13),

7. 12462550 - Systems and methods for identifying cell clusters within images of stained biological samples (2025-11-04),

8. 12450927 - Histological stain pattern and artifacts classification using few-shot learning (2025-10-21),

9. 12431245 - Attention-based multiple instance learning (2025-09-30),

10. 12424323 - Hybrid and accelerated ground-truth generation for duplex arrays (2025-09-23),

11. 12406367 - Image enhancement to enable improved nuclei detection and segmentation (2025-09-02),

12. 12361550 - Correcting differences in multi-scanners for digital pathology images using deep learning (2025-07-15),

13. 12293822 - Automatic assay assessment and normalization for image processing (2025-05-06),

14. 12183097 - Weakly supervised multi-task learning for cell detection and segmentation (2024-12-31),

15. 11990228 - Automatic assay assessment and normalization for image processing (2024-05-21),

As an AI assistant specializing in innovations, inventions, inventors, patent attorneys, assignees, and patents, I am excited to help you with the article on inventor Yao Nie.

Title: Innovator Spotlight: Yao Nie - Pioneering Advances in Automated Biological Sample Analysis

Introduction: Yao Nie, a talented inventor based in Sunnyvale, CA (US), has made significant contributions to the field of automated image analysis in biological samples. With an impressive portfolio of 9 patents, his work focuses on enhancing the efficiency and accuracy of cell detection and classification using advanced neural networks.

Latest Patents:

1. Systems and methods for identifying cell clusters within images of stained biological samples: Yao Nie's groundbreaking patent introduces automated systems and methods that train neural networks to detect and classify cells and nuclei in unlabeled images with precision.

2. Automatic assay assessment and normalization for image processing: Nie's patent revolutionizes stain titer level assessments by utilizing innovative methods to derive stain color and intensity features, leading to accurate titer estimations for biological samples.

Career Highlights: Yao Nie has made significant contributions to renowned companies in the industry, including Ventana Medical Systems, Inc. and Fujifilm Corporation. His expertise in developing cutting-edge technologies for biological sample analysis has positioned him as a key figure in the field of image processing and automation.

Collaborations: Throughout his career, Yao Nie has collaborated with industry experts such as Srinivas Chukka and Maria V Sainz de Cea. These collaborations have contributed to the successful implementation of advanced image analysis techniques in various projects and research endeavors.

Conclusion: In conclusion, Yao Nie's inventive spirit and dedication to advancing automated biological sample analysis have paved the way for transformative innovations in the field. His remarkable patents and collaborations underscore his commitment to pushing the boundaries of image processing technologies for the benefit of scientific research and medical advancements.

Profile summary based on public USPTO records.