Fürth, Germany

Martin Kraus

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Siemens Healthcare Diagnostics Gmbh. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Martin Kraus. Retrieved from https://idiyas.com/inventor/martin-kraus-cak9o938

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Martin Kraus and Optical Analysis of Biological Samples.

Introduction

Martin Kraus is an inventor associated with Fürth, Germany, and Siemens Healthcare Diagnostics GmbH. His patent work concerns automated optical analysis of biological samples, combining microscopy and artificial intelligence to focus image reconstruction on relevant regions.

Latest Patents

The provided information lists 1 patent for Martin Kraus: “Automatic Analyzer and Method for Optically Analyzing a Biological Sample.” The invention describes an analyzer that examines a sample in a flow cell or on a specimen holder using a Fourier Ptychography Microscope (FPM). A control module applies an artificial intelligence algorithm to identify regions of interest from FPM data, then reconstructs amplitude and/or phase images for those regions. By limiting reconstruction to selected areas, the method aims to reduce the computational time required for image processing.

Career Highlights

Kraus’s listed invention reflects work at the intersection of medical diagnostics, computational microscopy, and automated image analysis. The patent identifies Siemens Healthcare Diagnostics GmbH as his company.

Collaborations

The provided information names Mark Dethlefsen and Thomas Engel as Kraus’s coworkers. It does not specify their roles in the patent or whether they collaborated on the invention.

Conclusion

Martin Kraus’s listed patent presents an approach to making biological sample analysis more computationally efficient by using artificial intelligence to guide FPM image reconstruction toward regions of interest.

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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