Location History:
- Johanneshov, SE (2012)
- Stockholm, SE (2014)
- Huddinge, SE (2019 - 2023)
Company Filing History:
Years Active: 2012-2023
Title: Martin Ryner: Innovator in Electron Microscopy
Introduction
Martin Ryner is a notable inventor based in Huddinge, Sweden. He has made significant contributions to the field of electron microscopy, holding a total of seven patents. His work focuses on advancing methods for analyzing structural appearances in electron micrographs.
Latest Patents
One of Martin Ryner's latest patents is a method for automated unsupervised ontological investigation of structural appearances in electron micrographs. This innovative method involves dividing dark objects, substructures, and background of an image from an electron microscope into segments by analyzing pixel values. The segments are transformed and aligned to ensure that the transformed objects, substructures, and background are meaningfully comparable. Furthermore, the transformed segments are clustered into classes that facilitate ontological investigation of samples visualized using electron microscopy. A triangle inequality comparison can be employed to further cluster groups of objects, enhancing the understanding of different interactions between objects and associating these interactions with one another.
Career Highlights
Martin Ryner is currently associated with Intelligent Virus Imaging Inc., where he continues to develop and refine his innovative techniques. His expertise in electron microscopy has positioned him as a key figure in the field, contributing to advancements that enhance the analysis of microscopic images.
Collaborations
Some of Martin Ryner's coworkers include Ida-Maria Sintorn and Gustaf Kylberg. Their collaborative efforts contribute to the innovative environment at Intelligent Virus Imaging Inc.
Conclusion
Martin Ryner's work in electron microscopy exemplifies the impact of innovation in scientific research. His patents and methods are paving the way for more effective analysis of structural appearances in microscopic images.