College Park, MD, United States of America

Artur Agaronyan


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Artur Agaronyan: Innovator in Neural Cell Analysis

Introduction

Artur Agaronyan is a prominent inventor based in College Park, MD (US). He has made significant contributions to the field of neural cell analysis through his innovative methods and technologies. His work focuses on enhancing the understanding of neural cells, which is crucial for advancements in neuroscience.

Latest Patents

Artur Agaronyan holds a patent for a method titled "Method for the detection, segmentation and morphological mapping on neural cell images of the whole brain." This patent describes a method and apparatus for morphological analysis of neural cells. The process includes receiving an immunohistochemistry (IHC) image of one or more neural cells, detecting these cells using a neural network, generating a segmentation cell mask, and classifying the cells based on the generated mask. This innovative approach has the potential to significantly improve the analysis of neural cell images.

Career Highlights

Artur Agaronyan is affiliated with Howard University, where he applies his expertise in neural cell analysis. His work at the university allows him to collaborate with other researchers and contribute to the academic community. His dedication to research and innovation has positioned him as a valuable asset in the field of neuroscience.

Collaborations

Artur has worked alongside notable colleagues such as Tsang-Wei Tu and Yi-YU Hsu. These collaborations have fostered a productive research environment, leading to advancements in the understanding of neural cells.

Conclusion

Artur Agaronyan's contributions to neural cell analysis through his patented methods highlight his role as an innovator in the field. His work at Howard University and collaborations with fellow researchers further emphasize his commitment to advancing neuroscience.

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