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Tucson, AZ, United States of America

Ventana Medical Systems, Inc.

Calculating rank

USPTO Granted Patents = 548

% Expired Patents = 7.5

CIPO Patents = 43

EPO Patents = 256

Trademarks = 14

Forward Citations = 5,961

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544 inventors (with patents filed for the assignee):

Srinivas Chukka (51 out of 59 patents)

Christopher Bieniarz (46 out of 47 patents)

William L Richards (43 out of 46 patents)

4. Michael Otter (41 out of 46 patents)

5. Anindya Sarkar (41 out of 41 patents)

6. Wayne A Showalter (38 out of 44 patents)

7. Jerome W Kosmeder, Ii (34 out of 38 patents)

8. Joerg Bredno (30 out of 58 patents)

9. Jim F Martin (30 out of 31 patents)

10. Brian Daniel Kelly (29 out of 31 patents)

11. Charles Daniel Lemme (29 out of 46 patents)

12. Michael S Barnes (29 out of 151 patents)

13. Michael Patrick Farrell (27 out of 31 patents)

14. Brian Howard Kram (25 out of 25 patents)

15. Yao Nie (24 out of 25 patents)

Core Competencies:

Digital Imaging

Histology

Machine Learning

Specimen Processing

Immunofluorescence

Biomarker Analysis

Tissue Samples

Image Segmentation

Assay Monitoring

Cell Detection

Automated Systems

Calibration

548 patents: Sort by Forward Citations

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

2. 12725695 - Contextually adaptive digital pathology interface (2026-09-01),

3. 12716825 - Method of storing and retrieving digital pathology analysis results (2026-08-25),

4. 12694972 - Predicting actionable mutations from digital pathology images (2026-07-28),

5. 12693297 - Coumarin-based crosslinking reagents (2026-07-28),

6. 12692546 - Personalized ctDNA disease monitoring via representative DNA sequencing (2026-07-28),

7. 12675880 - Transformation of histochemically stained images into synthetic immunohistochemistry (IHC) images (2026-07-07),

8. 12673938 - Conjugates including a detectable moiety (2026-07-07),

9. 12663401 - Real-time prediction of tissue fixation time (2026-06-23),

10. D1129495 - Display screen or portion thereof with graphical user interface (2026-06-09),

11. 12645996 - Active learning system for digital pathology (2026-06-02),

12. 12634602 - Image sensing system and method for imaging (2026-05-19),

13. 12631641 - Method of identifying treatment responsive non-small cell lung cancer using anaplastic lymphoma kinase (ALK) as a marker (2026-05-19),

14. 12631634 - HISTOCHEMICAL AND CYTOCHEMICAL METHODS FOR DETECTING NTRK FUSION PROTEINS (2026-05-19),

15. 12630635 - POLYNUCLEOTIDES ENCODING ANTI-PD-L1 ANTIBODIES (2026-05-19),

Company Overview

Ventana Medical Systems, Inc., based in Tucson, AZ, specializes in digital pathology solutions that enhance the efficiency and accuracy of tissue sample analysis. The company focuses on advanced technologies such as digital imaging, histology, and machine learning to improve specimen processing and biomarker analysis. Their innovations in immunofluorescence and image segmentation empower pathologists with precise tools for diagnosing diseases, ultimately contributing to better patient outcomes in the healthcare sector.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

548 Patents

#2 in Tucson, AZ

#11 in Arizona

#894 in US

#1,778 in the World

Tucson, AZ, United States of America

Ventana Medical Systems, Inc.

Forward Citations = 5,961

544 inventors:

Srinivas Chukka (51 out of 59 patents)

Christopher Bieniarz (46 out of 47 patents)

William L Richards (43 out of 46 patents)

4. Michael Otter (41 out of 46 patents)

5. Anindya Sarkar (41 out of 41 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Ventana Medical Systems, Inc.. Retrieved from https://idiyas.com/company/ventana-medical-systems

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

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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