Atlanta, GA, United States of America

Safoora Yousefi


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Safoora Yousefi: Innovator in Biological Imaging Technologies

Introduction

Safoora Yousefi is an accomplished inventor based in Atlanta, GA (US). She has made significant contributions to the field of biological imaging, particularly in the development of automated systems for cell detection and classification. With a total of 2 patents, her work is paving the way for advancements in medical diagnostics and research.

Latest Patents

Safoora's latest patents focus on systems and methods for identifying cell clusters within images of stained biological samples. The first patent describes automated systems and methods that are designed to quickly and accurately train a neural network to detect and classify cells and nuclei. This innovation is crucial for enhancing the efficiency of biological analysis. The second patent reiterates similar methodologies, emphasizing the use of a trained cell detection and classification engine, which can classify cells within unlabeled images. These patents highlight her commitment to improving the accuracy and speed of biological imaging.

Career Highlights

Safoora Yousefi is currently employed at Ventana Medical Systems, Inc., where she continues to develop innovative solutions in the field of medical technology. Her work at Ventana Medical Systems has positioned her as a key player in the advancement of automated imaging systems.

Collaborations

Safoora collaborates with Yao Nie, who is also a talented professional in the field. Their partnership exemplifies the importance of teamwork in driving innovation and achieving breakthroughs in technology.

Conclusion

Safoora Yousefi's contributions to biological imaging through her patents and work at Ventana Medical Systems, Inc. demonstrate her dedication to advancing medical technology. Her innovative approaches are set to make a lasting impact in the field of biological research and diagnostics.

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