Miami, FL, United States of America

Jindan Zhou


 

Average Co-Inventor Count = 3.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Miami, FL (US) (2022)
  • Brea, CA (US) (2022)
  • Palmetto Bay, FL (US) (2024)

Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Jindan Zhou: Innovator in Biological Particle Classification

Introduction

Jindan Zhou is a notable inventor based in Miami, FL (US), recognized for his contributions to the field of biological particle classification. With a total of three patents to his name, Zhou has made significant advancements in automated image-based feature extraction and classification systems.

Latest Patents

One of Zhou's latest patents is a system and method for the classification of biological particles. This innovative method operates by applying a mask or series of masks to an image, extracting features from the unmasked portions based on the content and location of colored pixels. The process involves selecting a subset of the extracted features and mapping them into a classifier architecture. In most cases, the first-level model architecture provides accurate identification of the cell or particle. However, in some instances, a second-level classification step is required, utilizing numerical or categorical values from the first level in combination with a second-level model.

Career Highlights

Throughout his career, Jindan Zhou has worked with prominent companies such as Iris International, Inc. and Beckman Coulter, Inc. His experience in these organizations has contributed to his expertise in the field of biological classification systems.

Collaborations

Zhou has collaborated with various professionals, including Carlos Ramirez and Steven Cadavid, enhancing his work through shared knowledge and expertise.

Conclusion

Jindan Zhou's innovative work in the classification of biological particles showcases his dedication to advancing technology in the field. His patents reflect a commitment to improving automated systems for biological analysis, making a significant impact in the industry.

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