Larkspur, CO, United States of America

M Scott Lucia

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2013-2023

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2 patents (USPTO):Explore Patents

Title: M Scott Lucia: Innovator in Diagnostic Systems

Introduction

M Scott Lucia is a prominent inventor based in Larkspur, Colorado. He has made significant contributions to the field of medical diagnostics, particularly in the classification of tissue. With a total of two patents to his name, Lucia's work is at the forefront of innovative healthcare solutions.

Latest Patents

Lucia's latest patents include a multi-excitation diagnostic system and methods for the classification of tissue. These methods and systems focus on in vivo classification of tissue by irradiating it with light from multiple sources. The light that is scattered and fluoresced from the tissue is then received and analyzed. Distinct emissions from the sample are identified, leading to the generation of an excitation-emission matrix. Both on-diagonal and off-diagonal components of this matrix are identified, allowing for the derivation of spectroscopic measures. These measures are compared to a database of known spectra, enabling the classification of tissue as benign or malignant. An optical biopsy needle or probe may be utilized to contemporaneously classify and sample tissue for pathological confirmation of diagnosis.

Career Highlights

Lucia is affiliated with the University of Colorado, where he continues to advance his research and innovations in diagnostic technologies. His work has the potential to significantly impact the field of pathology and improve patient outcomes.

Collaborations

Some of his notable coworkers include Priya N Werahera and John Daily, who contribute to the collaborative efforts in research and development within his projects.

Conclusion

M Scott Lucia's innovative work in diagnostic systems exemplifies the intersection of technology and healthcare. His contributions are paving the way for more accurate and efficient methods of tissue classification, ultimately benefiting the medical community and patients alike.

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