Yokohama, Japan

Kazuhiro Yano

This inventor holds 1 USPTO granted patent and 2 EPO patents. Top assignee: Nikon Corporation. Active years: 2013.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kazuhiro Yano. Retrieved from https://idiyas.com/inventor/kazuhiro-yano-cvc27l9h

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 = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Kazuhiro Yano and Cell Aggregation Image Processing

Introduction

Kazuhiro Yano is an inventor associated with Nikon Corporation in Yokohama, Japan. His patent work concerns image-processing techniques for assessing how cell aggregations change over time.

Latest Patents

Yano is credited with 1 patent: “Technique for Determining the State of a Cell Aggregation, Image Processing Program and Image Processing Device Using the Technique, and Method for Producing a Cell Aggregation.”

The invention processes time-lapse images by extracting a cell aggregation from each image and analyzing pixel-value distributions across the aggregation, along with changes in pixel values over time. Based on these measurements, the program determines and outputs whether the aggregation is changing toward a multilayered state.

Career Highlights

Yano’s listed patent connects image processing with the analysis of cell aggregation, offering a method to evaluate structural changes from time-lapse imagery. His work is associated with Nikon Corporation.

Collaborations

The listed coworkers associated with Yano are Hideki Sasaki and Masafumi Mimura.

Conclusion

Kazuhiro Yano’s patent describes an image-processing approach for identifying cell aggregations that are developing toward a multilayered state.

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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