This inventor holds 1 USPTO granted patent and 1 published patent application, plus 1 CIPO patent and 1 EPO patent. Top assignee: Allen Institute. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Susanne Marie Rafelski: Innovator in 3D Microscopy
Introduction
Susanne Marie Rafelski is a prominent inventor based in Seattle, WA, known for her contributions to the field of microscopy. With a focus on enhancing the analysis of 3D intracellular structures, her work has significant implications for scientific research and medical applications.
Latest Patents
Rafelski holds a patent for a groundbreaking method titled "Segmenting 3D intracellular structures in microscopy images using an iterative deep learning workflow that incorporates human contributions." This innovative facility is designed to identify the boundaries of 3-dimensional structures in microscopy images. The process involves receiving initial attempts to identify these boundaries, presenting the results to a human for feedback, and utilizing this input to train a deep-learning network for improved accuracy in future analyses.
Career Highlights
Currently, Rafelski is associated with the Allen Institute, where she applies her expertise in microscopy and deep learning. Her work is instrumental in advancing the capabilities of imaging technologies, which are crucial for understanding complex biological systems.
Collaborations
Rafelski collaborates with talented colleagues, including Jianxu Chen and Liya Ding, to further enhance the research and development of innovative microscopy techniques. Their combined efforts contribute to the ongoing advancements in the field.
Conclusion
Susanne Marie Rafelski's innovative work in microscopy and her patent for segmenting 3D structures highlight her significant contributions to science and technology. Her dedication to improving imaging techniques continues to pave the way for future discoveries in various scientific domains.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile