Company Filing History:
Years Active: 2021-2023
Title: Innovations in Allograft Optimization by Inventor Cris Holmes
Introduction
Cris Holmes, an innovative inventor based in Maricopa, AZ, has significantly contributed to the field of allograft optimization with two patents to his name. His expertise and groundbreaking work in utilizing advanced optical systems have paved the way for more efficient and effective tissue processing techniques.
Latest Patents
One of Cris Holmes' notable inventions is an allograft optimization system, which employs an optical system to ascertain the outer perimeter of a tissue blank for cutting allografts. This optimization system determines the best allograft array pattern from irregular tissue blanks, capable of producing various allograft shapes and sizes. The invention features a computer program that processes input regarding the tissue blank's perimeter. Additionally, a cutting implement, such as a laser, cuts the allografts according to the determined pattern. This cutting tool is automatically managed through an actuator, ensuring precision in the extraction of allografts, including tissue from birth sources like placenta and amnion.
Career Highlights
Cris Holmes has leveraged his skills and knowledge in a professional capacity with Amnio Technology LLC, a company dedicated to advancing the capabilities of allografts. His role has been crucial in refining processes that enhance the usability and effectiveness of tissue transplants in medical applications.
Collaborations
Throughout his career, Cris has collaborated with esteemed colleagues, including Merrill B Stromer and Larry Macal. These partnerships have fostered an environment of shared knowledge and innovative thought, pushing the boundaries of research and development in tissue engineering.
Conclusion
Cris Holmes stands as a prominent figure in the innovation landscape of allograft technologies. His patents and ongoing contributions through collaboration and research continue to influence the field, ensuring that advancements in tissue optimization are both practical and beneficial for future applications.