Lugo, Spain

Carlos Fernandez Lozano


Average Co-Inventor Count = 13.0

ph-index = 1


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Carlos Fernandez Lozano

Introduction

Carlos Fernandez Lozano is a notable inventor based in Lugo, Spain. He has made significant contributions to the field of protein analysis through his innovative methods. His work focuses on enhancing the accuracy and efficiency of gel image analysis, which is crucial in various scientific and medical applications.

Latest Patents

One of Carlos Fernandez Lozano's key patents is titled "Molecular block-matching method for gel image analysis." This patent describes a method for analyzing 2-D gel images obtained using electrophoresis. More specifically, it introduces a molecular block-matching technique that establishes the correspondence between protein spots in a diagnostic-test image and those in a reference image. The method allows for individual protein spot matching, eliminating the need for aligning the entire reference and test images. This innovation facilitates the automatic labeling of individual protein spots, making the analysis process fully automated and ideally suited for protein information retrieval systems. Carlos holds 1 patent in this area.

Career Highlights

Throughout his career, Carlos has worked with esteemed institutions, including the University of A Coruña and the Servizo Galego De Saúde (Sergas). His experience in these organizations has allowed him to develop and refine his innovative methods, contributing to advancements in the field of protein analysis.

Collaborations

Carlos has collaborated with notable colleagues such as Francisco Blanco García and Cristina Ruiz Romero. Their combined expertise has further enhanced the impact of his work in the scientific community.

Conclusion

Carlos Fernandez Lozano's contributions to the field of gel image analysis demonstrate his commitment to innovation and excellence. His patented methods have the potential to significantly improve protein analysis, benefiting various scientific and medical fields.

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