Brno, Czechia

Ondrej Sembera

This inventor holds 1 USPTO granted patent. Top assignee: Fei Comapny. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ondrej Sembera. Retrieved from https://idiyas.com/inventor/ondrej-sembera

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Ondrej Sembera: Innovator in Spectral Data Analysis

Introduction

Ondrej Sembera is a notable inventor based in Brno, Czech Republic. He has made significant contributions to the field of spectral data analysis, particularly through his innovative patent. His work focuses on enhancing the understanding of materials through advanced analytical techniques.

Latest Patents

Ondrej Sembera holds a patent titled "Method and system for component analysis of spectral data." This invention involves the acquisition of emission spectral data from a sample in response to irradiation by a charged particle beam. The spectral data is then processed using a machine learning estimator to determine abundances and spectral components, which are influenced by the characteristics of the detector. The result is the generation of images that provide compositional information about the sample, showcasing the potential of machine learning in analytical applications. He has 1 patent to his name.

Career Highlights

Sembera is associated with FEI Company, a leader in the field of electron microscopy and focused ion beam technologies. His role at the company allows him to apply his innovative ideas in a practical setting, contributing to advancements in material science and analysis.

Collaborations

He has collaborated with notable colleagues such as Petr Hlavenka and Jan Klusácek, who share a commitment to pushing the boundaries of technology and innovation in their respective fields.

Conclusion

Ondrej Sembera's work exemplifies the intersection of machine learning and material analysis, paving the way for future innovations in spectral data interpretation. His contributions are significant in advancing the capabilities of analytical techniques in various scientific domains.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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