Company Filing History:
10 out of 1,930 
6 out of 6 
4 out of 290 
Years Active: 2016-2025
Title: The Innovative Contributions of Lawrence O. Hall
Introduction
Lawrence O. Hall is a prominent inventor based in Tampa, Florida, known for his significant contributions to the field of automated stereology. With a total of 10 patents to his name, Hall has made remarkable advancements in the methodologies used for cell counting and tissue analysis.
Latest Patents
Among his latest patents, Hall has developed systems and methods for determining cell number count in automated stereology z-stack images. These innovations include a semi-automatic approach for ground truth preparation in 3D stacks of microscopy images, which enhances the generation of training data. His exemplary disector-based MIMO framework analyzes all planes of a 3D disector stack, avoiding the costly computations associated with 3D deep learning methods. This approach also mitigates stereological bias by counting profiles rather than cells, ensuring accurate and precise cell counts. Additionally, Hall's patent on automated stereology for determining tissue characteristics outlines a method that captures Z-stack images of 3D objects and employs advanced segmentation techniques to determine stereology parameters, such as the number of cells in a region.
Career Highlights
Hall has had a distinguished career, working with notable institutions such as the University of South Florida and the Stereology Resource Center, Inc. His work has significantly impacted the field of stereology, particularly in enhancing the efficiency and accuracy of cell counting methods.
Collaborations
Throughout his career, Hall has collaborated with esteemed colleagues, including Dmitry B. Goldgof and Peter Randolph Mouton. These partnerships have further enriched his research and innovations in automated stereology.
Conclusion
Lawrence O. Hall's contributions to the field of automated stereology exemplify the power of innovation in advancing scientific methodologies. His patents not only enhance the accuracy of cell counting but also pave the way for future developments in tissue analysis.
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